IOT

Starting soon, Neato robovac owners will no longer be able to control their devices using the app. Neato Robotics, which shut down in 2023 due to declining sales, has notified customers that "cloud services are being phased out during Q4 2025," according to an email obtained by The Verge.  While Neato's parent company Vorwerk Group initially said cloud support would continue for at least five years following its closure, the email now says "cybersecurity standards, compliance obligations, and regulations have advanced in ways that make it no longer possible to safely and sustainably operate these legacy systems." This doesn't mean existing Neato products will be completely bricked — there's still the option to start them manually by pressing a button — but they won't offer all the smart home conveniences expected from a robovac that cost hundreds of dollars. Without use of the app, customers won't be able to set cleaning schedules,

As of Oct. 23, get the Roborock Saros Z70, for just $1,399.99. That's the lowest price ever on the robot vacuum and mop that comes with a mechanical arm.

As of Oct. 23, the Roborock Q7 M5+ robot vacuum and mop is down to $229.99. That saves you $200 when using the on-page coupon.

As of Oct. 23, get $200 off the iRobot Roomba 104 2-in-1 robot vacuum and mop at Amazon.

We came across a bullish thesis on Samsara Inc. on Compounding Your Wealth’s Substack by Sergey. In this article, we will summarize the bulls’ thesis on IOT. Samsara Inc.’s share was trading at $36.42 as of October 16th. IOT’s forward P/E was 69.93 according to Yahoo Finance. Samsara ($IOT) delivered a robust Q2 FY2025, reporting ~30% YoY revenue growth and signs of stabilizing execution across its Connected Operations Cloud platform. The […]

arXiv:2510.19269v1 Announce Type: cross Abstract: Sleep quality is an important indicator of the efficient cognitive function for high school teachers. Due to the high work stress and multi-tasking expectations, the teachers often face issues with their sleep quality and cognitive function, which has a clearly negative influence on their teaching abilities. In this work, we propose a unique but simple method of deploying Internet of Things (IoT) technology to monitor the sleep quality of high school teachers at Pakistan. Smart watches embedded with pulse rate and SpO2 sensors were used to collect data and categorize the sleep quality as "poor", "fair" or "good". Moreover, we used a psychological tool, Cognitive Assessment Questionnaire (CAQ) for the self-assessment of teachers' cognitive function. The study was conducted over 208 high school teachers from across Pakistan. It has been found that most of the teachers had a poor sleep quality and cognitive function; The link between

arXiv:2510.19121v1 Announce Type: new Abstract: The rapid growth of the Internet of Things (IoT) has transformed industries by enabling seamless data exchange among connected devices. However, IoT networks remain vulnerable to security threats such as denial of service (DoS) attacks, anomalous traffic, and data manipulation due to decentralized architectures and limited resources. To address these issues, this paper proposes an advanced anomaly detection framework with three main phases. First, data preprocessing is performed using the Median KS Test to remove noise, handle missing values, and balance datasets for cleaner input. Second, a feature selection phase employs a Genetic Algorithm combined with eagle inspired search strategies to identify the most relevant features, reduce dimensionality, and improve efficiency without sacrificing accuracy. Finally, an ensemble classifier integrates Decision Tree, Random Forest, and XGBoost algorithms to achieve accurate and reliable anomaly

As of Oct. 22, the Dreame L50 Ultra Robot Vacuum and Mop is on sale for $999.99, down from $1,599.99, at Amazon.

Upgrade your basic smart home setup with these simple tips and tricks.

arXiv:2510.18568v1 Announce Type: new Abstract: The integration of Internet of Things (IoT) devices in healthcare has revolutionized patient care by enabling real-time monitoring, personalized treatments, and efficient data management. However, this technological advancement introduces significant security risks, particularly concerning the confidentiality, integrity, and availability of sensitive medical data. Traditional security measures are often insufficient to address the unique challenges posed by IoT environments, such as heterogeneity, resource constraints, and the need for real-time processing. To tackle these challenges, we propose a comprehensive three-phase security framework designed to enhance the security and reliability of IoT-enabled healthcare systems. In the first phase, the framework assesses the reliability of IoT devices using a reputation-based trust estimation mechanism, which combines device behavior analytics with off-chain data storage to ensure

arXiv:2510.17870v1 Announce Type: new Abstract: Massive number of simultaneous Internet of Things (IoT) uplinks strain gateways with interference and energy limits, yet devices often lack neighbors' Channel State Information (CSI) and cannot sustain centralized Mobile Edge Computing (MEC) or heavy Machine Learning (ML) coordination. Classical Bayesian solvers help with uncertainty but become intractable as users and strategies grow, making lightweight, distributed control essential. In this paper, we introduce the first-ever, novel epistemic Bayesian game for uplink power control under incomplete CSI that operates while suppressing interference among multiple uplink channels from distributed IoT devices firing at the same time. Nodes run inter-/intra-epistemic belief updates over opponents' strategies, replacing exhaustive expected-utility tables with conditional belief hierarchies. Using an exponential-Gamma SINR model and higher-order utility moments (variance, skewness, kurtosis),

Welcome to The Sideload episode 9, a 9to5Google podcast. This week, Will is joined by Chris Wedel, the creator behind the YouTube channel Gadgets & Gravel and a writer at sites like CNET, Android Central, and XDA. Chris has dived deep into the type of smart home gadgets you might not think about all too often — robot lawn mowers, wall-illuminating specialized bulbs, electric scooters, and much more — and the result is an exceptionally fun chat on all sorts of gadgets and the state of creation in 2025. Subscribe YouTube Podcasts Pocket Casts Spotify Apple Podcasts more…

A research team led by Professor Uichin Lee from the School of Computing has demonstrated the possibility of accurately tracking an individual's mental health status using in-home Internet of Things (IoT) sensor data. The study is published in the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.

arXiv:2510.16414v1 Announce Type: new Abstract: In the Industrial Internet of Things (IIoT), the frequent transmission of large amounts of data over wireless networks should meet the stringent timeliness requirements. Particularly, the freshness of packet status updates has a significant impact on the system performance. In this paper, we propose an age-of-information (AoI)-aware multi-base station (BS) real-time monitoring framework to support extensive IIoT deployments. To meet the freshness requirements of IIoT, we formulate a joint task offloading and resource allocation optimization problem with the goal of minimizing long-term average AoI. Tackling the core challenges of combinatorial explosion in multi-BS decision spaces and the stochastic dynamics of IIoT systems is crucial, as these factors render traditional optimization methods intractable. Firstly, an innovative branching-based Dueling Double Deep Q-Network (Branching-D3QN) algorithm is proposed to effectively implement

Walmart is looking to improve and streamline its stock management and supply chain, bringing in ambient IoT to help manage all the items it sells.

Find the best Echo deal. Save 33% on the Echo Show 8 at Amazon.

The Shark AV2501AE Robot Vacuum with AI is 54% off right now. It features an XL HEPA self-empty base, bagless 60 day capacity, LIDAR navigation and more.

I’ve never thought to describe a robot vacuum as fun, yet here we are.

Barcelona, Spain (SPX) Oct 17, 2025 Sateliot has launched its first joint research and development project with the European Space Agency (ESA) to test a satellite communication system capable of operating independently from global navigation satellite systems (GNSS) such as GPS. The initiative, called the FreeGNSSNetwork project, represents a major step toward Europe's goal of strategic autonomy in Defense and Security comm

I've tested 25+ mopping robot vacuums on my own apartment floors. My top recommendations for 2025 include Dreame, Roborock, and iRobot.

Windows 10 end of life may be here, but Windows 10 IoT Enterprise LTSC 2021 has support until 2032.

Paul Finebaum cites Kirby Smart's home record for choosing Georgia over Ole Miss  On3College football line movements for Week 8, including No. 5 Ole Miss at No. 9 Georgia  CBS SportsNo. 5 Ole Miss has opportunity to take ‘another step’ in crucial SEC showdown against No. 9 Georgia  NBC SportsESPN’s College GameDay Built by The Home Depot Heads to Athens for Top-10 Ole Miss-Georgia SEC Showdown  ESPN Press RoomCollege football Week 8: Schedule, Top 25 rankings, preview and more  NCAA.com

Paul Finebaum cites Kirby Smart's home record for choosing Georgia over Ole Miss  On3College football line movements for Week 8, including No. 5 Ole Miss at No. 9 Georgia  CBS SportsNo. 5 Ole Miss has opportunity to take ‘another step’ in crucial SEC showdown against No. 9 Georgia  NBC SportsESPN’s College GameDay Built by The Home Depot Heads to Athens for Top-10 Ole Miss-Georgia SEC Showdown  ESPN Press RoomCollege football Week 8: Schedule, Top 25 rankings, preview and more  NCAA.com

arXiv:2510.14708v1 Announce Type: new Abstract: The Internet of Medical Things (IoMT) has revolutionized healthcare by transforming medical operations into standardized, interoperable services. However, this service-oriented model introduces significant security vulnerabilities in device management and communication, which are especially critical given the sensitivity of medical data. To address these risks, this paper proposes SLIE (Secure and Lightweight Identity Encryption), a novel cryptosystem based on Wildcard Key Derivation Identity-Based Encryption (WKD-IBE). SLIE ensures scalable trust and secure omnidirectional communication through end-to-end encryption, hierarchical access control, and a lightweight key management system designed for resource-constrained devices. It incorporates constant-time operations, memory obfuscation, and expiry-based key revocation to counter side-channel, man-in-the-middle, and unauthorized access attacks, thereby ensuring compliance with standards

arXiv:2510.13925v1 Announce Type: new Abstract: Internet of Things (IoT) networks generate diverse and high-volume traffic that reflects both normal activity and potential threats. Deriving meaningful insight from such telemetry requires cross-layer interpretation of behaviors, protocols, and context rather than isolated detection. This work presents an LLM-powered AI agent framework that converts raw packet captures into structured and semantically enriched representations for interactive analysis. The framework integrates feature extraction, transformer-based anomaly detection, packet and flow summarization, threat intelligence enrichment, and retrieval-augmented question answering. An AI agent guided by a large language model performs reasoning over the indexed traffic artifacts, assembling evidence to produce accurate and human-readable interpretations. Experimental evaluation on multiple IoT captures and six open models shows that hybrid retrieval, which combines lexical and

arXiv:2510.13817v1 Announce Type: new Abstract: The rapid expansion of IoT devices has outpaced current identification methods, creating significant risks for security, privacy, and network accountability. These challenges are heightened in open-world environments, where traffic metadata is often incomplete, noisy, or intentionally obfuscated. We introduce a semantic inference pipeline that reframes device identification as a language modeling task over heterogeneous network metadata. To construct reliable supervision, we generate high-fidelity vendor labels for the IoT Inspector dataset, the largest real-world IoT traffic corpus, using an ensemble of large language models guided by mutual-information and entropy-based stability scores. We then instruction-tune a quantized LLaMA3.18B model with curriculum learning to support generalization under sparsity and long-tail vendor distributions. Our model achieves 98.25% top-1 accuracy and 90.73% macro accuracy across 2,015 vendors while

In the wake of the global pandemic, the intricate relationship between digital transformation and sustainability has taken center stage, prompting a reevaluation of how institutions operate. The Industrial Internet of Things (IIoT), leveraging advanced digital technologies, serves not just as a tool but as a paradigm shift in how organizations perceive their roles in society. […]

Explore how the convergence of IoT, AI, and mobile technologies is driving digital innovation in manufacturing and R&D.

The Apple-designed N1 wireless networking chip brings Thread to the iPad Pro. | Image: Apple Apple’s new M5-powered iPad Pro is the first iPad to officially support the Thread smart home protocol. It comes with Apple’s new N1 wireless networking chip, which adds Wi-Fi 7, Bluetooth 6, and Thread — the three wireless protocols the Matter smart home standard runs on. While other iPads and Macs reportedly have Thread radios, this is the first model launching with the protocol publicly listed in the specs, and it could lay the groundwork for the iPad to be a Home hub — again.  So, what does this mean? Well, not much right away. Just as the answer to why Apple added Thread to iPhones starting with the iPhone 15 Pro wasn’t immediately clear, the company also hasn’t said why it’s on the new iPad. The

Listen to a recap of the top stories of the day from 9to5Mac. 9to5Mac Daily is available on iTunes and Apple’s Podcasts app, Stitcher, TuneIn, Google Play, or through our dedicated RSS feed for Overcast and other podcast players. Sponsored by 9to5Mac Daily Plus: Get ad-free versions of every episode by visiting 9to5mac.com/join.  more…

Apple’s new home hub is said to resemble the Amazon Echo Show pictured here. Apple’s long-rumored smart home display hub may finally launch in Spring 2026, according to Bloomberg’s Mark Gurman, but at a relatively steep cost. Gurman reports that Apple has targeted a price of around $350 for its upcoming 7-inch smart display meant to serve as a central command hub in the home. That’s the same launch price as the original 2018 HomePod, but considerably higher than competing products like Amazon’s $220 Echo Show 11.  There are two versions of the home hub, according to Gurman: a tabletop model that resembles a HomePod mini with a screen, and a wall-mounted version. The report is unclear which device the $350 price applies to.  The Apple smart displays are set to be assembled in Vietnam alongside a new indoor security camera and

The fundamental concepts and benefits of data-over-sound connectivity, and how DSP capabilities are used to engineer a software-defined data-over-sound solution. The post Why Data-Over-Sound Is An Integral Part Of Any IoT Engineer’s Toolbox appeared first on Semiconductor Engineering.

Dreame's new robot vacuum has incredibly advanced cleaning features. Here's how the roller mop and 30,000 Pa suction do on pet hair, spills, and more.

Cast your mind back a decade, to the relatively primitive age of the late 2010s. Finding a property

arXiv:2510.10465v1 Announce Type: new Abstract: Modern Internet of Things (IoT) systems generate massive, heterogeneous multivariate time series data. Accurate Multivariate Time Series Forecasting (MTSF) of such data is critical for numerous applications. However, existing methods almost universally employ a shared embedding layer that processes all channels identically, creating a representational bottleneck that obscures valuable channel-specific information. To address this challenge, we introduce a Shared-Auxiliary Embedding (SAE) framework that decomposes the embedding into a shared base component capturing common patterns and channel-specific auxiliary components modeling unique deviations. Within this decomposition, we \rev{empirically observe} that the auxiliary components tend to exhibit low-rank and clustering characteristics, a structural pattern that is significantly less apparent when using purely independent embeddings. Consequently, we design LightSAE, a

arXiv:2510.09842v1 Announce Type: new Abstract: Energy efficiency has emerged as a defining constraint in the evolution of sustainable Internet of Things (IoT) networks. This work moves beyond simulation-based or device-centric studies to deliver measurement-driven, network-level smart energy analysis. The proposed system enables end-to-end visibility of energy flows across distributed IoT infrastructures, uniting Bluetooth Low Energy (BLE) and Visible Light Communication (VLC) modes with environmental sensing and E-ink display subsystems under a unified profiling and prediction platform. Through automated, time-synchronized instrumentation, the framework captures fine-grained energy dynamics across both node and gateway layers. We developed a suite of tools that generate energy datasets for IoT ecosystems, addressing the scarcity of such data and enabling AI-based predictive and adaptive energy optimization. Validated within a network-level IoT testbed, the approach demonstrates

arXiv:2510.09700v1 Announce Type: new Abstract: Smart homes are increasingly populated with heterogeneous Internet of Things (IoT) devices that interact continuously with users and the environment. This diversity introduces critical challenges in device identification, authentication, and security, where fingerprinting techniques have emerged as a key approach. In this survey, we provide a comprehensive analysis of IoT fingerprinting specifically in the context of smart homes, examining methods for device and their event detection, classification, and intrusion prevention. We review existing techniques, e.g., network traffic analysis or machine learning-based schemes, highlighting their applicability and limitations in home environments characterized by resource-constrained devices, dynamic usage patterns, and privacy requirements. Furthermore, we discuss fingerprinting system deployment challenges like scalability, interoperability, and energy efficiency, as well as emerging

arXiv:2510.09629v1 Announce Type: new Abstract: The growing use of Internet of Things (IoT) technologies in Nigerian healthcare offers potential improvements in remote monitoring and data-driven care, but unsecured wireless communication in medical IoT (mIoT) devices exposes patient data to cyber threats. This study investigates such vulnerabilities through a real-time Man in the Middle (MITM) attack simulation and evaluates lightweight AES-128 encryption on low-cost devices. A prototype mIoT device was built with a NodeMCU ESP8266 and sensors for heart rate and temperature. In controlled lab conditions simulating local healthcare networks, unencrypted data transmissions were intercepted and altered using common tools (Bettercap, Wireshark). After AES-128 encryption was applied, all transmissions became unreadable and tamper attempts failed, demonstrating its effectiveness. Performance costs were modest, latency rose from 80 ms to 125 ms (56.25 percent increase) and CPU use from

Samsara Inc. (NYSE:IOT) is one of the best growth stocks to buy now. On October 1, Evercore ISI analyst Kirk Materne upgraded Samsara to Outperform from In Line with a price target of $50, up from $45. Evercore ISI believes that Samsara has a positive long-term future, citing its ability to exceed and raise financial […]

This new Amazon Basics device is anything but basic.

Amazon Prime Day is cutting the prices of everything, but few items are getting better discounts than robot vacuums –down as much as 65%.

Brian Krebs / Krebs on Security: New evidence shows the Aisuru botnet, which outpaces all other IoT-based botnets, is drawing most of its firepower from hacked IoT devices hosted on US ISPs  —  The world's largest and most disruptive botnet is now drawing a majority of its firepower from compromised Internet-of-Things (IoT) …

Robot vacuums promise spotless floors and saved time - but do they really deliver? We look at how well today's models handle messes, obstacles, and more.

As of Oct. 10, the iRobot Roomba Plus 504 robot vacuum is discounted at Amazon to $398.99, 47% off its list price of $749.99.

arXiv:2510.07905v1 Announce Type: cross Abstract: With the rapid advancement of the digital society, the proliferation of satellites in the Satellite Internet of Things (Sat-IoT) has led to the continuous accumulation of large-scale multi-temporal and multi-source images across diverse application scenarios. However, existing methods fail to fully exploit the complementary information embedded in both temporal and source dimensions. For example, Multi-Image Super-Resolution (MISR) enhances reconstruction quality by leveraging temporal complementarity across multiple observations, yet the limited fine-grained texture details in input images constrain its performance. Conversely, pansharpening integrates multi-source images by injecting high-frequency spatial information from panchromatic data, but typically relies on pre-interpolated low-resolution inputs and assumes noise-free alignment, making it highly sensitive to noise and misregistration. To address these issues, we propose

arXiv:2510.08164v1 Announce Type: new Abstract: The increasing capabilities of Digital Twins (DTs) in the context of the Internet of Things (IoT) and Industrial IoT (IIoT) call for seamless integration with simulation platforms to support system design, validation, and real-time operation. This paper introduces the concept, design, and experimental evaluation of the DT Simulation Bridge - a software framework that enables diverse interaction patterns between active DTs and simulation environments. The framework supports both the DT development lifecycle and the incorporation of simulations during active operation. Through bidirectional data exchange, simulations can update DT models dynamically, while DTs provide real-time feedback to adapt simulation parameters. We describe the architectural design and core software components that ensure flexible interoperability and scalable deployment. Experimental results show that the DT Simulation Bridge enhances design agility, facilitates

arXiv:2510.08084v1 Announce Type: new Abstract: The rapid expansion of Internet of Things (IoT) devices has transformed industries and daily life by enabling widespread connectivity and data exchange. However, this increased interconnection has introduced serious security vulnerabilities, making IoT systems more exposed to sophisticated cyber attacks. This study presents a novel ensemble learning architecture designed to improve IoT attack detection. The proposed approach applies advanced machine learning techniques, specifically the Extra Trees Classifier, along with thorough preprocessing and hyperparameter optimization. It is evaluated on several benchmark datasets including CICIoT2023, IoTID20, BotNeTIoT L01, ToN IoT, N BaIoT, and BoT IoT. The results show excellent performance, achieving high recall, accuracy, and precision with very low error rates. These outcomes demonstrate the model efficiency and superiority compared to existing approaches, providing an effective and

arXiv:2510.07464v1 Announce Type: new Abstract: The Internet of Things (IoT) bridges the gap between the physical and digital worlds, enabling seamless interaction with real-world objects via the Internet. However, IoT systems face significant challenges in ensuring efficient data generation, collection, and management, particularly due to the resource-constrained and unreliable nature of connected devices, which can lead to data loss. This paper presents DRACO (Data Replication and Collection), a framework that integrates a distributed hop-by-hop data replication approach with an overhead-free mobile sink-based data collection strategy. DRACO enhances data availability, optimizes replica placement, and ensures efficient data retrieval even under node failures and varying network densities. Extensive ns-3 simulations demonstrate that DRACO outperforms state-of-the-art techniques, improving data availability by up to 15% and 34%, and replica creation by up to 18% and 40%, compared to

arXiv:2510.07322v1 Announce Type: new Abstract: This work presents AgroTrack, a LoRa-based IoT framework for remote livestock monitoring in smart agriculture. The system is designed for low-power, long-range communication and supports real-time tracking and basic health assessment of free-range livestock through GPS, motion, and temperature sensors integrated into wearable collars. Data is collected and transmitted via LoRa to gateways and forwarded to a cloud platform for visualization, alerts, and analytics. To enhance its practical deployment, AgroTrack incorporates advanced analytics, including machine learning models for predictive health alerts and behavioral anomaly detection. This integration transforms the framework from a basic monitoring tool into an intelligent decision-support system, enabling farmers to improve livestock management, operational efficiency, and sustainability in rural environments.

Logitech's Pop buttons for smart home automation will soon become completely useless e-waste. The company released the devices less than a decade ago but is now abandoning early adopters, claiming the market and technology have outpaced the product.Read Entire Article

The Kasa Smart Plug Ultra Mini conveniently automates existing indoor lights or even your Christmas tree -- and it's only $13 for a two-pack.

Scharon Harding / Ars Technica: Logitech tells users that it will end support for its Pop smart home switches, launched in August 2016, on October 15, as it moves on from its smart home plans  —  In another loss for early smart home adopters, Logitech has announced that it will brick all Pop switches on October 15.

A new class of MPUs and MCUs to address fragmentation. The post The Rise Of Scalable AI SoCs For The IoT Device Edge appeared first on Semiconductor Engineering.

It's the final day of Amazon Prime Day, but it's not too late to get a heavy discount on a traditional or robotic vacuums from Amazon. We're hoping this sale helps ease some of the more granular vacuum-related decisions. Should you go corded, cordless or robotic? Dyson, iRobot or Shark? Are there any decent robotic vacuums that aren't Roombas? (Yes.) Until the very end of the Big Deal Days sale tonight, but until the very end, we'll search for discounts as tirelessly as an automated vacuum scours your floors for dirt, and post all the best deals here. Best Prime Day robot vacuum deals Shark PowerDetect NeverTouch for $450 (36 percent off): This robotic mop/vacuum combo is engineering so you'll almost never need to revisit it after you set it up. It can clean its own mop, refill its own water tank and empty its own dustbin

This robot vacuum is so good that it beats all others in my pet hair tests, and Prime Day has dropped its price to $650.

Logitech will brick its $100 Pop smart home buttons on October 15  Ars TechnicaView Full Coverage on Google News

Logitech will brick its $100 Pop smart home buttons on October 15  Ars TechnicaView Full Coverage on Google News

Logitech's interest in the smart home has appeared to wane in recent years.

Last week, Amazon and Google kick-started what could be the next chapter of the smart home. Their new voice assistants, Alexa Plus and Gemini for Home, have been rebuilt from the ground up on generative AI and large language models to be more conversational, understand context, and take actions. This marks the biggest shift in home control since the companies launched their original smart speakers over a decade ago. In the years since, smart home adoption has stalled - because it's complicated and confusing, and the value isn't always clear. Google and Amazon are betting on this new wave of AI-powered intelligence to deliver a smarter, simp … Read the full story at The Verge.

Discover 9 essential smart home security upgrades for October in the UK. From smart locks to motion‑activated lighting, this checklist keeps your home safe all season.

arXiv:2510.05123v1 Announce Type: cross Abstract: Neuro-oncological prognostics are now vital in modern clinical neuroscience because brain tumors pose significant challenges in detection and management. To tackle this issue, we propose a cognitive digital twin framework that combines real-time EEG signals from a wearable skullcap with structural MRI data for dynamic and personalized tumor monitoring. At the heart of this framework is an Enhanced Vision Transformer (ViT++) that includes innovative components like Patch-Level Attention Regularization (PLAR) and an Adaptive Threshold Mechanism to improve tumor localization and understanding. A Bidirectional LSTM-based neural classifier analyzes EEG patterns over time to classify brain states such as seizure, interictal, and healthy. Grad-CAM-based heatmaps and a three.js-powered 3D visualization module provide interactive anatomical insights. Furthermore, a tumor kinetics engine predicts volumetric growth by looking at changes in MRI

arXiv:2510.05713v1 Announce Type: new Abstract: Federated split learning (FedSL) has emerged as a promising paradigm for enabling collaborative intelligence in industrial Internet of Things (IoT) systems, particularly in smart factories where data privacy, communication efficiency, and device heterogeneity are critical concerns. In this article, we present a comprehensive study of FedSL frameworks tailored for resource-constrained robots in industrial scenarios. We compare synchronous, asynchronous, hierarchical, and heterogeneous FedSL frameworks in terms of workflow, scalability, adaptability, and limitations under dynamic industrial conditions. Furthermore, we systematically categorize token fusion strategies into three paradigms: input-level (pre-fusion), intermediate-level (intra-fusion), and output-level (post-fusion), and summarize their respective strengths in industrial applications. We also provide adaptive optimization techniques to enhance the efficiency and feasibility of

arXiv:2510.05180v1 Announce Type: new Abstract: In critical IoT environments, such as smart homes and industrial systems, effective Intrusion Detection Systems (IDS) are essential for ensuring security. However, developing robust IDS solutions remains a significant challenge. Traditional machine learning-based IDS models typically require large datasets, but data sharing is often limited due to privacy and security concerns. Federated Learning (FL) presents a promising alternative by enabling collaborative model training without sharing raw data. Despite its advantages, FL still faces key challenges, such as data heterogeneity (non-IID data) and high energy and computation costs, particularly for resource constrained IoT devices. To address these issues, this paper proposes OptiFLIDS, a novel approach that applies pruning techniques during local training to reduce model complexity and energy consumption. It also incorporates a customized aggregation method to better handle pruned

Spain’s Sateliot says it has achieved the first narrowband connection from a LEO satellite to a commercial IoT device built to global 5G standards known as 3GPP Release 17. The post Sateliot hails first standards-based IoT connection from LEO to a commercial device appeared first on SpaceNews.

Up to 40% off the best robot vacuum mops? Yes please, October Prime Day has three 3i robot vacuum cleaners with up to 40% off.

I spent weeks testing the Dreame X50 Ultra, and it succeeded where others failed. And now you can pick one up for a nice $500 discount.

Google has a long history of building something interesting, making a lot of big promises about its future, then seemingly forgetting it exists and killing it a few months or years later. Over the last few years, you'd be forgiven for thinking the smart home was one of those things, as Google Home and Nest products seemed to languish behind their competitors. But Google says it's still in the game, and that Gemini is the key to making the smart home truly great. On this episode of The Vergecast, David and The Verge's Jennifer Pattison Tuohy are joined by Anish Kattukaran, head of product for Google's smart home efforts, to talk about the st … Read the full story at The Verge.

arXiv:2510.03859v1 Announce Type: new Abstract: Ensuring that critical IoT systems function safely and smoothly depends a lot on finding anomalies quickly. As more complex systems, like smart healthcare, energy grids and industrial automation, appear, it is easier to see the shortcomings of older methods of detection. Monitoring failures usually happen in dynamic, high dimensional situations, especially when data is incomplete, messy or always evolving. Such limits point out the requirement for adaptive, intelligent systems that always improve and think. LLMs are now capable of significantly changing how context is understood and semantic inference is done across all types of data. This proposal suggests using an LLM supported contextual reasoning method along with XAI agents to improve how anomalies are found in significant IoT environments. To discover hidden patterns and notice inconsistencies in data streams, it uses attention methods, avoids dealing with details from every time

arXiv:2510.03737v1 Announce Type: new Abstract: With the development of Internet of Things (IoT), it is gaining a lot of attention. It is important to secure the embedded systems with low overhead. The Linux Seccomp is widely used by developers to secure the kernels by blocking the access of unused syscalls, which introduces less overhead. However, there are no systematic Seccomp configuration approaches for IoT applications without the help of developers. In addition, the existing Seccomp configuration approaches are coarse-grained, which cannot analyze and limit the syscall arguments. In this paper, a novel static dependent syscall analysis approach for embedded applications is proposed, which can obtain all of the possible dependent syscalls and the corresponding arguments of the target applications. So, a fine-grained kernel access limitation can be performed for the IoT applications. To this end, the mappings between dynamic library APIs and syscalls according with their

arXiv:2510.03524v1 Announce Type: new Abstract: Fog computing integrates cloud and edge resources. According to an intelligent and decentralized method, this technology processes data generated by IoT sensors to seamlessly integrate physical and cyber environments. Internet of Things uses wireless and smart objects. They communicate with each other, monitor the environment, collect information, and respond to user requests. These objects have limited energy resources since they use batteries to supply energy. Also, they cannot replace their batteries. As a result, the network lifetime is limited and short. Thus, reducing energy consumption and accelerating the data transmission process are very important challenges in IoT networks to reduce the response time. In the data transmission process, selecting an appropriate cluster head node is very important because it can reduce the delay when sending data to the fog. In this paper, cluster head nodes are selected based on several

arXiv:2510.03513v1 Announce Type: new Abstract: The rapid growth of the Internet of Things (IoT) has expanded opportunities for innovation but also increased exposure to botnet-driven cyberattacks. Conventional detection methods often struggle with scalability, privacy, and adaptability in resource-constrained IoT environments. To address these challenges, we present a lightweight and privacy-preserving botnet detection framework based on federated learning. This approach enables distributed devices to collaboratively train models without exchanging raw data, thus maintaining user privacy while preserving detection accuracy. A communication-efficient aggregation strategy is introduced to reduce overhead, ensuring suitability for constrained IoT networks. Experiments on benchmark IoT botnet datasets demonstrate that the framework achieves high detection accuracy while substantially reducing communication costs. These findings highlight federated learning as a practical path toward

arXiv:2510.03284v1 Announce Type: new Abstract: This paper proposes Edge-FIT (Federated Instruction Tuning on the Edge), a scalable framework for Federated Instruction Tuning (FIT) of Large Language Models (LLMs). Traditional Federated Learning (TFL) methods, like FedAvg, fail when confronted with the massive parameter size of LLMs [3], [6]. Our Edge-FIT framework combines federated learning with 4-bit Quantized Low-Rank Adaptation (QLORA), mitigating the core issues of communication and computational overhead. We demonstrate this by filtering the general-purpose Databricks Dolly 15k dataset for the IoT domain. Experimental results show the Edge-FIT tuned Llama 2(7B) achieves an F1-Score of 0.89. We also demonstrate a viable trade-off using the 3.8B Phi-3-mini model, validating Edge-FIT as a scalable framework for decentralized LLM deployment on home compute gateways.

The iRobot Roomba 104 robot vacuum is on sale for $150 for October's Prime Day. That's a nice little discount of 40 percent, which represents a savings of $100. This is a newer version of the unit that topped our list of the best budget robot vacuums. It's an entry-level robovac that gets the job done. The cleaning motor is fairly powerful and it ships with a multi-surface brush and an edge-sweeping brush. The vacuum uses LiDAR to map a home and to help it avoid obstacles when cleaning. It's also been equipped with specialized sensors to prevent falling down stairs. Steps are the natural enemy of all robot vacuums, except maybe this one. The Roomba 104 integrates with the company's proprietary app, which allows for custom cleaning schedules and the like. The robot can also be controlled via voice assistant and boasts

Amazon robot vacuum deals are going hard before Prime Big Deal Days even starts. Save on the newest Roombas and the new Dreame Aqua10 Ultra Roller.

Robot vacuums are more than just a gimmick. Sure, we all enjoy anthropomorphizing a Roomba from time to time, but they're not gadgets for the sake of gadgetry — keeping your living space clean is an incredibly rewarding task to automate. The only problem is that robot vacuums, and frankly all decent vacuums, are expensive. Fortunately, the steep discounts offered on Amazon this October Prime Day make the purchase a lot more justifiable, whether you want a robot buddy or a traditional vacuum cleaner. In this article, we're sharing a constantly updated list of Prime Day vacuum deals worth taking advantage of. Best Prime Day robot vacuum deals Dyson V15 Detect Plus for $570 (33 percent off): Our top pick for the best cordless vacuum on the market right now, the V15 Detect has some of the strongest suction power you'll find

Want to keep your cool and your costs down? IoT refrigeration is the secret sauce for restaurants looking

arXiv:2510.02717v1 Announce Type: new Abstract: The rapid expansion of the Internet of Things (IoT) has revolutionized modern industries by enabling smart automation and real time connectivity. However, this evolution has also introduced complex cybersecurity challenges due to the heterogeneous, resource constrained, and distributed nature of these environments. To address these challenges, this research presents CST AFNet, a novel dual attention based deep learning framework specifically designed for robust intrusion detection in IoT networks. The model integrates multi scale Convolutional Neural Networks (CNNs) for spatial feature extraction, Bidirectional Gated Recurrent Units (BiGRUs) for capturing temporal dependencies, and a dual attention mechanism, channel and temporal attention, to enhance focus on critical patterns in the data. The proposed method was trained and evaluated on the Edge IIoTset dataset, a comprehensive and realistic benchmark containing more than 2.2 million

arXiv:2510.02519v1 Announce Type: new Abstract: We present TLoRa, an end-to-end architecture for HTTPS communication over LoRa by integrating TCP tunneling and a complete TLS 1.3 handshake. It enables a seamless and secure communication channel between WiFi-enabled end devices and the Internet over LoRa using an End Hub (EH) and a Net Relay (NR). The EH tethers a WiFi hotspot and a captive portal for user devices to connect and request URLs. The EH forwards the requested URLs to the NR using a secure tunnel over LoRa. The NR, which acts as a server-side proxy, receives and resolves the request from the Internet-based server. It then relays back the encrypted response from the server over the same secure tunnel. TLoRa operates in three phases -session setup, secure tunneling, and rendering. In the first phase, it manages the TCP socket and initiates the TLS handshake. In the second, it creates a secure tunnel and transfers encrypted TLS data over LoRa. Finally, it delivers the URL

The long-awaited Gemini for Home update has finally arrived - and it's rolling out to most Nest security devices.

The Narwal Flow rolls right over the competition when it comes to mopping, but doesn't always do as it's told.

This 3i G10+ Robot Vacuum and Mop Combo is on sale this weekend for 33% off.

Robot vacuums are more than just a gimmick. Sure, we all enjoy anthropomorphizing a Roomba from time to time, but they're not gadgets for the sake of gadgetry — keeping your living space clean is an incredibly rewarding task to automate. The only problem is that robot vacuums, and frankly all decent vacuums, are expensive. Fortunately, the steep discounts offered on Amazon this October Prime Day make the purchase a lot more justifiable, whether you want a robot buddy or a traditional vacuum cleaner. In this article, we're sharing a constantly updated list of vacuum discounts worth taking advantage of. Best Prime Day vacuum deals Dyson V15 Detect Plus for $570 (33 percent off): Our top pick for the best cordless vacuum on the market right now, the V15 Detect has some of the strongest suction power you'll find in a stick

Om Malik / Crazy Stupid Tech: Q&A with iRobot founder Rodney Brooks on his startup Robust.AI, which builds warehouse robots, unrealistic expectations around humanoid robots and AI, and more  —  Every so often, we find ourselves in the middle of a massive technological wave that starts to upend our presumptions and our ideas about the past, present, and future.

Building your dream home into a smart home? These are the definitive smart home devices to add in 2025, according to trusted users.

I tried Amazon and Google’s new smart home gadgets this week, ask me anything!  The VergeOur newest Google Home devices are built for Gemini  The KeywordYour old Google smart home gadgets are about to get chattier. Here’s why.  The Washington PostGoogle Brings Gemini AI to the Home With New Cameras, Doorbell and Speaker  Bloomberg.comWhen is Gemini for Home rolling out: Schedule, countries, early access  9to5Google

I tried Amazon and Google’s new smart home gadgets this week, ask me anything!  The VergeOur newest Google Home devices are built for Gemini  The KeywordYour old Google smart home gadgets are about to get chattier. Here’s why.  The Washington PostGoogle Brings Gemini AI to the Home With New Cameras, Doorbell and Speaker  Bloomberg.comWhen is Gemini for Home rolling out: Schedule, countries, early access  9to5Google

The iRobot Roomba 104 robot vacuum is on sale for $150 just ahead of October's Prime Day. That's a nice little discount of 40 percent, which represents a savings of $100. This is a newer version of the unit that topped our list of the best budget robot vacuums. It's an entry-level robovac that gets the job done. The cleaning motor is fairly powerful and it ships with a multi-surface brush and an edge-sweeping brush. The vacuum uses LiDAR to map a home and to help it avoid obstacles when cleaning. It's also been equipped with specialized sensors to prevent falling down stairs. Steps are the natural enemy of all robot vacuums, except maybe this one. The Roomba 104 integrates with the company's proprietary app, which allows for custom cleaning schedules and the like. The robot can also be controlled via voice assistant and

The Verge’s senior reviewer, Jen Tuohy, is taking your questions about Amazon and Google’s new devices. Hi! I'm Jennifer Pattison Tuohy (aka Jen), The Verge's smart home reviewer. I just spent the last week in New York City getting hands-on with the new smart displays, smart speakers, smart voice assistants, and smart security cameras launched by Amazon and Google. I'm hosting a subscriber-only AMA on the site today, Friday, October 3rd. Just ask your questions in the comments on this post, and my editor, Nathan Edwards, and I will join you here at 1 PM to answer as many as we can. View this post on Instagram A post shared by The Verge (@verge) To catch you up: on Tuesday, Amazon launched new Echo Show smart displays an … Read the full story at The Verge.

arXiv:2510.01445v1 Announce Type: new Abstract: Privacy and security in Smart Cities remain at constant risk due to the vulnerabilities introduced by Internet of Things (IoT) devices. The limited computational resources of these devices make them especially susceptible to attacks, while their widespread adoption increases the potential impact of security breaches. This article presents a review of security proposals aimed at protecting IoT devices in Smart City environments. The review was conducted by analyzing recent literature on device-level security, with particular emphasis on lightweight cryptography, physically unclonable functions (PUFs), and blockchain-based solutions. Findings highlight both the strengths and limitations of current approaches, as well as the need for more practical, scalable, and resource-efficient mechanisms to ensure user privacy and data protection in IoT ecosystems.

arXiv:2510.01260v1 Announce Type: new Abstract: The integration of Large Language Models (LLMs) with Internet-of-Things (IoT) systems faces significant challenges in hardware heterogeneity and control complexity. The Model Context Protocol (MCP) emerges as a critical enabler, providing standardized communication between LLMs and physical devices. We propose IoT-MCP, a novel framework that implements MCP through edge-deployed servers to bridge LLMs and IoT ecosystems. To support rigorous evaluation, we introduce IoT-MCP Bench, the first benchmark containing 114 Basic Tasks (e.g., ``What is the current temperature?'') and 1,140 Complex Tasks (e.g., ``I feel so hot, do you have any ideas?'') for IoT-enabled LLMs. Experimental validation across 22 sensor types and 6 microcontroller units demonstrates IoT-MCP's 100% task success rate to generate tool calls that fully meet expectations and obtain completely accurate results, 205ms average response time, and 74KB peak memory footprint. This

Rodney Brooks says humanoid robots pose hidden safety challenges and won't learn dexterity from video alone.

Earlier this year, the Thread Group unveiled version 1.4 of the low-power smart home protocol. One of the key improvements was easy cross-ecosystem interoperability – meaning that Thread-based smart home devices from various brands can work in unison instead of each brand requiring its own control app. Samsung’s SmartThings is one of the first smart home ecosystems to add support for this network unification. This is supported on select SmartThings Hubs (including the Aeotec Smart Home Hub and the Aeotec Smart Home Hub 2) and will be added to more hubs soon. Aeotec Smart Home Hub...

A new Nest Doorbell and Nest Cams are joining the Google Home lineup, along with a major upgrade with generative AI.

Google unveiled its next-generation smart home ecosystem just 24 hours after Amazon launched its AI-enhanced Echo lineup. The

arXiv:2510.00904v1 Announce Type: cross Abstract: Efficient data transmission in resource-constrained Internet of Things (IoT) systems requires semantics-aware management that maximizes the delivery of timely and informative data. This paper investigates the optimization of the semantic metric Version Age of Information (VAoI) in a status update system comprising an energy-harvesting (EH) sensor and a destination monitoring node. We consider three levels of knowledge about the system model -- fully known, partially known, and unknown -- and propose corresponding optimization strategies: model-based, estimation-based, and model-free methods. By employing Markov Decision Process (MDP) and Reinforcement Learning (RL) frameworks, we analyze performance trade-offs under varying degrees of model information. Our findings provide guidance for designing efficient and adaptive semantics-aware policies in both known and unknown IoT environments.

arXiv:2510.00904v1 Announce Type: new Abstract: Efficient data transmission in resource-constrained Internet of Things (IoT) systems requires semantics-aware management that maximizes the delivery of timely and informative data. This paper investigates the optimization of the semantic metric Version Age of Information (VAoI) in a status update system comprising an energy-harvesting (EH) sensor and a destination monitoring node. We consider three levels of knowledge about the system model -- fully known, partially known, and unknown -- and propose corresponding optimization strategies: model-based, estimation-based, and model-free methods. By employing Markov Decision Process (MDP) and Reinforcement Learning (RL) frameworks, we analyze performance trade-offs under varying degrees of model information. Our findings provide guidance for designing efficient and adaptive semantics-aware policies in both known and unknown IoT environments.