IOT

Fewer open entry points mean a more secure smart home. Here's how to keep yours as protected as possible.

From its streamlined look to its improved threshold-climbing abilities, this is a formidable new flagship from Dreame.

Fewer open entry points mean a more secure smart home - here's how to find them.

The Qrevo Curv 2 Flow is Roborock's first robot vacuum to feature a self-cleaning roller mop.

Not sure where to start with your new robovac? Follow these 7 steps and you'll be well on your way.

arXiv:2601.10743v1 Announce Type: cross Abstract: Sensor nodes localization in wireless Internet of Things (IoT) sensor networks is crucial for the effective operation of diverse applications, such as smart cities and smart agriculture. Existing sensor nodes localization approaches heavily rely on anchor nodes within wireless sensor networks (WSNs). Anchor nodes are sensor nodes equipped with global positioning system (GPS) receivers and thus, have known locations. These anchor nodes operate as references to localize other sensor nodes. However, the presence of anchor nodes may not always be feasible in real-world IoT scenarios. Additionally, localization accuracy can be compromised by fluctuations in Received Signal Strength Indicator (RSSI), particularly under non-line-of-sight (NLOS) conditions. To address these challenges, we propose UBiGTLoc, a Unified Bidirectional Long Short-Term Memory (BiLSTM)-Graph Transformer Localization framework. The proposed UBiGTLoc framework

arXiv:2601.11326v1 Announce Type: new Abstract: The Internet of Things (IoT) has become integral to modern technology, enhancing daily life and industrial processes through seamless connectivity. However, the rapid expansion of IoT systems presents significant sustainability challenges, such as high energy consumption and inefficient resource management. Addressing these issues is critical for the long-term viability of IoT networks. Machine learning (ML), with its proven success across various domains, offers promising solutions for optimizing IoT operations. ML algorithms can learn directly from raw data, uncovering hidden patterns and optimizing processes in dynamic environments. Executing ML at the edge of IoT networks can further enhance sustainability by reducing bandwidth usage, enabling real-time decision-making, and improving data privacy. Additionally, testing ML models on actual hardware is essential to ensure satisfactory performance under real-world conditions, as it

SwitchBot’s new video doorbell shines in a couple of ways, but fails hard in too many key smart home camera ways.

Water leaks and water damage are one of my biggest fears as a homeowner. With hardwood floors throughout my house, even a small water leak could turn into a massive repair bill and a huge inconvenience to get them repaired. A slow drip from a sink can quickly cause thousands of dollars (or tens of thousands) in damage to your floors and cabinets. If I had to choose one smart home category that actually gives me peace of mind, it would be the ones that prevent disasters. In 2026, the water leak sensor is still the most critical piece of hardware in my HomeKit setup. more…

Solid vacuuming and a handy deep clean module almost make the Omni E28 a solid choice, if not for a noisy dock and mediocre mopping.

The Dreame X50 Ultra works well on a range of floor types, conquers obstacles up to 2.36 inches and makes a great cleaning companion.

As of Jan. 16, the Eufy C10 robot vacuum has dropped to $206.99 at Amazon. This is 31% off its list price of $299.99.

arXiv:2601.10544v1 Announce Type: new Abstract: Mobile Ad Hoc Networks (MANETs) and Internet of Things (IoT) networks operate in decentralized and dynamic environments, making them ideal for scenarios lacking traditional infrastructure. However, these networks face challenges such as inefficient routing, limited scalability, and security vulnerabilities due to their decentralized nature and resource constraints. This paper explores the integration of Software-Defined Networking (SDN) as a unified solution that leverages its centralized control and network programmability to improve routing, resource management, and security. A mathematical model evaluates the impact of SDN integration on Capital Expenditure (CAPEX), Operational Expenditure (OPEX), and performance metrics. Results demonstrate that SDN-enhanced MANETs and IoT networks offer superior scalability, reduced latency, increased throughput, and lower packet loss, especially in dynamic and large-scale environments. While SDN

arXiv:2601.09744v1 Announce Type: new Abstract: Industrial IoT platforms in global manufacturing environments generate continuous operational data across production assets, utilities, and connected products. While data ingestion and storage capabilities have matured significantly, enterprises continue to face systemic challenges in governing IoT data at scale. These challenges are not rooted in tooling limitations but in the absence of a governance model that aligns with the realities of distributed operational ownership, heterogeneous source systems, and continuous change at the edge. This paper presents a federated governance model that emphasizes contract-driven interoperability, policy-as-code enforcement, and asset-centric accountability across global manufacturing organizations. The model addresses governance enforcement at architectural boundaries, enabling semantic consistency, quality assurance, and regulatory compliance without requiring centralized control of operational

LI-COR announced today that its Carbon Node is the recipient of the "Internet of Environment Solution of the Year" award in the 10th annual IoT Breakthrough Awards program conducted by IoT Breakthrough.

These 7 Smart Home Gadgets From CES Can Actually Improve Your Daily Routine  PCMagI Can't Stop Thinking About These Home Security Game-Changers at CES  CNETFive Smart-Home Highlights From CES 2026  Mansion GlobalThese are the smart home gadgets that impressed me at CES 2026  The VergeTech finally grows up: What CES 2026 means for your home  Fernandina Observer

These 7 Smart Home Gadgets From CES Can Actually Improve Your Daily Routine  PCMagI Can't Stop Thinking About These Home Security Game-Changers at CES  CNETFive Smart-Home Highlights From CES 2026  Mansion GlobalThese are the smart home gadgets that impressed me at CES 2026  The VergeTech finally grows up: What CES 2026 means for your home  Fernandina Observer

arXiv:2601.09422v1 Announce Type: new Abstract: The unprecedented surge of massive Internet of things (mIoT) traffic in beyond fifth generation (B5G) communication systems calls for transformative approaches for multiple access and data transmission. While classical model-based tools have been proven to be powerful and precise, an imminent trend for resource management in B5G networks is promoting solutions towards data-driven design. Considering an IoT network with devices spread in clusters covered by a base station, we present in this paper a novel model-free multiple access and data transmission framework empowered by reinforcement learning, designed for power-domain non-orthogonal multiple access networks to facilitate uplink traffic of small data packets. The framework supports two access modes referred to as contention-based and semi-contention-free, with its core component being a policy gradient algorithm executed at the base station. The base station performs access control

Unveiled at CES, the new Copilot Star platform is designed to take smart device interoperability to the next level.

arXiv:2601.08484v1 Announce Type: new Abstract: Maintaining optimal water quality in aquariums is critical for aquatic health but remains challenging due to the need for continuous monitoring of multiple parameters. Traditional manual methods are inefficient, labor-intensive, and prone to human error, often leading to suboptimal aquatic conditions. This paper presents an IoT-based smart aquarium system that addresses these limitations by integrating an ESP32 microcontroller with multiple sensors (pH, TDS, temperature, turbidity) and actuators (servo feeder, water pump) for comprehensive real-time water quality monitoring and automated control. The system architecture incorporates edge processing capabilities, cloud connectivity via Blynk IoT platform, and an intelligent alert mechanism with configurable cooldown periods to prevent notification fatigue. Experimental evaluation in a 10-liter aquarium environment demonstrated the system's effectiveness, achieving 96\% average sensor

arXiv:2601.08394v1 Announce Type: new Abstract: Pet ownership is increasingly common in modern households, yet maintaining a consistent feeding schedule remains challenging for the owners particularly those who live in cities and have busy lifestyles. This paper presents the design, development, and validation of a low-cost, scalable GSM-IoT smart pet feeder that enables remote monitoring and control through cellular communication. The device combines with an Arduino microcontroller, a SIM800L GSM module for communication, an ultrasonic sensor for real-time food-level assessment, and a servo mechanism for accurate portion dispensing. A dedicated mobile application was developed using MIT App Inventor which allows owners to send feeding commands and receive real-time status updates. Experimental results demonstrate a 98\% SMS command success rate, consistent portion dispensing with $\pm 2.67$\% variance, and reliable autonomous operation. Its modular, energy-efficient design makes it

arXiv:2601.08044v1 Announce Type: new Abstract: Denial-of-Service (DoS) attacks pose a critical threat to Internet of Things (IoT) ecosystems, yet deploying effective intrusion detection on resource-constrained edge devices remains challenging. Kolmogorov-Arnold Networks (KANs) offer a compact alternative to Multi-Layer Perceptrons (MLPs) by placing learnable univariate spline functions on edges rather than fixed activations on nodes, achieving competitive accuracy with fewer parameters. However, runtime B-spline evaluation introduces significant computational overhead unsuitable for latency-critical IoT applications. We propose a lookup table (LUT) compilation pipeline that replaces expensive spline computations with precomputed quantized tables and linear interpolation, dramatically reducing inference latency while preserving detection quality. Our lightweight KAN model (50K parameters, 0.19~MB) achieves 99.0\% accuracy on the CICIDS2017 DoS dataset. After LUT compilation with

Devices equipped with Emerson's SmartVoice don't require Wi-Fi or a hub; instead, they utilize on-device voice control.

For selection and affordability, Ikea will be hard to beat for Matter-compatible smart home sensors and lighting in 2026.

As of Jan. 13, the Dreame L50 Ultra robot vacuum and mop has dropped to $849.98 at Amazon, 39% off its list price of $1,399.99.

arXiv:2601.07536v1 Announce Type: new Abstract: MQTT is the dominant lightweight publish--subscribe protocol for IoT deployments, yet edge security remains inadequate. Cloud-based intrusion detection systems add latency that is unsuitable for real-time control, while CPU-bound firewalls and generic SDN controllers lack MQTT awareness to enforce session validation, topic-based authorization, and behavioral anomaly detection. We propose a P4-based data-plane enforcement scheme for protocol-aware MQTT security and anomaly detection at the network edge. The design combines parser-safe MQTT header extraction with session-order validation, byte-level topic-prefix authorization with per-client rate limiting and soft-cap enforcement, and lightweight anomaly detection based on KeepAlive and Remaining Length screening with clone-to-CPU diagnostics. The scheme leverages stateful primitives in BMv2 (registers, meters, direct counters) to enable runtime policy adaptation with minimal per-packet

arXiv:2601.06612v1 Announce Type: new Abstract: The reliance of Large Language Models and Internet of Things systems on massive, globally distributed data flows creates systemic security and privacy challenges. When data traverses borders, it becomes subject to conflicting legal regimes, such as the EU's General Data Protection Regulation and China's Personal Information Protection Law, compounded by technical vulnerabilities like model memorization. Current static encryption and data localization methods are fragmented and reactive, failing to provide adequate, policy-aligned safeguards. This research proposes a Jurisdiction-Aware, Privacy-by-Design architecture that dynamically integrates localized encryption, adaptive differential privacy, and real-time compliance assertion via cryptographic proofs. Empirical validation in a multi-jurisdictional simulation demonstrates this architecture reduced unauthorized data exposure to below five percent and achieved zero compliance

arXiv:2601.06466v1 Announce Type: new Abstract: The rapid proliferation of Internet of Things (IoT) devices across domains such as smart homes, industrial control systems, and healthcare networks has significantly expanded the attack surface for cyber threats, including botnet-driven distributed denial-of-service (DDoS), malware injection, and data exfiltration. Conventional intrusion detec- tion systems (IDS) face critical challenges like privacy, scala- bility, and robustness when applied in such heterogeneous IoT environments. To address these issues, we propose SecureDyn- FL, a comprehensive and robust privacy-preserving federated learning (FL) framework tailored for intrusion detection in IoT networks. SecureDyn-FL is designed to simultaneously address multiple security dimensions in FL-based IDS: (1) poisoning detection through dynamic temporal gradient auditing, (2) privacy protection against inference and eavesdrop- ping attacks through secure aggregation, and (3) adaptation

Samsara Inc. (NYSE:IOT) is one of the promising stocks to buy under $50. On January 5, RBC Capital lowered the firm’s price target on Samsara to $46 from $50 with an Outperform rating on the shares. The firm predicted that 2026 would be a year of divergence for the software industry. Companies prepared for enterprise […]

I can't stop thinking about IKEA's new Varmblixt smart lamp, and these are the 5 reasons I seriously want to upgrade.

Devices equipped with Emerson's SmartVoice don't require Wi-Fi or a hub; instead, they utilize on-device voice control. You can buy these appliances now.

There are several smart home gadgets that can make your home life easier and safer. However, here are 14 you may have never known existed.

As of Jan. 12, the Eufy Omni C20 robot vacuum and mop has dropped to $349.99 at Amazon, 42% off its list price of $599.99.

arXiv:2601.05984v1 Announce Type: new Abstract: The rapid deployment of Internet of Things (IoT) devices has led to large-scale sensor networks that monitor environmental and urban phenomena in real time. Communities of Interest (CoIs) provide a promising paradigm for organising heterogeneous IoT sensor networks by grouping devices with similar operational and environmental characteristics. This work presents an anomaly detection framework based on the CoI paradigm by grouping sensors into communities using a fused similarity matrix that incorporates temporal correlations via Spearman coefficients, spatial proximity using Gaussian distance decay, and elevation similarities. For each community, representative stations based on the best silhouette are selected and three autoencoder architectures (BiLSTM, LSTM, and MLP) are trained using Bayesian hyperparameter optimization with expanding window cross-validation and tested on stations from the same cluster and the best representative

A giant version of Lockin’s wirelessly charged V7 smart lock was a showstopper on the CES show floor. I picked Aqara's Smart Lock U400 and Roborock's Saros Rover robot vacuum as the overall best smart home gadgets from CES 2026, but there were gazillions of other great gadgets on the show floor. It was a banner year for smart home products, but the big trends I saw weren't about new product categories; they were about bringing better features and lower prices to smart home staples such as smart lighting, smart locks, cameras, and TVs. This is what I expected the launch of the interoperability protocol Matter would bring. Once companies could stop spending time and money on working on integrating with half a dozen platforms, they could fo … Read the full story at The Verge.

Ikea's 2026 leap into the smart home world is full of promise. Very affordable promise.

I spent the week on the CES show floor, searching for compelling smart home devices. Here's what I found.

Matter really Mattered, this year.

Just because you're renting doesn't mean you can't have some smart devices in your home, and these devices are perfectly suited for apartments.

As of Jan. 9, get the Eufy 11S Max robot vacuum for 50% off at Amazon.

Investing in a smart home gym? These are our favorite systems to get you in shape.

The app-free, Wi-Fi-free, hub-free smart home is here, and Emerson is leading the charge.

arXiv:2601.04761v1 Announce Type: new Abstract: Manual observation and monitoring of individual cows for disease detection present significant challenges in large-scale farming operations, as the process is labor-intensive, time-consuming, and prone to reduced accuracy. The reliance on human observation often leads to delays in identifying symptoms, as the sheer number of animals can hinder timely attention to each cow. Consequently, the accuracy and precision of disease detection are significantly compromised, potentially affecting animal health and overall farm productivity. Furthermore, organizing and managing human resources for the manual observation and monitoring of cow health is a complex and economically demanding task. It necessitates the involvement of skilled personnel, thereby contributing to elevated farm maintenance costs and operational inefficiencies. Therefore, the development of an automated, low-cost, and reliable smart system is essential to address these

arXiv:2601.04680v1 Announce Type: new Abstract: The proliferation of smart home devices has increased the complexity of controlling and managing them, leading to user fatigue. In this context, large language models (LLMs) offer a promising solution by enabling natural-language interfaces for Internet of Things (IoT) control. However, existing LLM-based approaches suffer from unreliable and inefficient device control due to the non-deterministic nature of LLMs, high inference latency and cost, and limited personalization. To address these challenges, we present IoTGPT, an LLM-based smart home agent designed to execute IoT commands in a reliable, efficient, and personalized manner. Inspired by how humans manage complex tasks, IoTGPT decomposes user instructions into subtasks and memorizes them. By reusing learned subtasks, subsequent instructions can be processed more efficiently with fewer LLM calls, improving reliability and reducing both latency and cost. IoTGPT also supports

Chinese household appliances maker Dreame Technology unveiled more than 20 new artificial intelligence-embedded products at this year’s CES trade show in Las Vegas, showing a glimpse of the future when smart devices would run almost all chores in a house. Those formed part of more than 150 products that Dreame, one of the world’s top five vendors of robot vacuum cleaners, exhibited at the four-day trade show that concludes this Friday. Dreame’s new “AI-powered whole-home smart ecosystem”...

It was only a matter of time before someone strapped a robot vacuum to a drone and tried to fly it up the stairs. I saw Mova's attempt at CES 2026.

The pivot doesn’t look out of place at CES, where Chinese electronics companies are increasingly applying their manufacturing prowess to new industries.

IKEA took to CES for the first time ever this year in an effort to show off its new smart home tech, which continues to get better and better, but there’s one big asterisk for Google Home users based on early user impressions. more…

From folding laundry to light baking, LG's latest CES reveal wants to handle your chores. Find out why experts are impressed by its brain but wary of its speed.

Ring relaunches its suite of smart home sensors  EngadgetRing around the parking lot: Amazon’s security company unveils a $5,000 surveillance trailer  GeekWireAmazon’s Ring doorbells get fire alerts, an app store, and new sensors  TechCrunchRing’s Mobile Security Trailer provides 360-degree coverage anywhere  The VergeRing ready for end of the world as it turns cameras on fires  theregister.com

Ring relaunches its suite of smart home sensors  EngadgetRing around the parking lot: Amazon’s security company unveils a $5,000 surveillance trailer  GeekWireAmazon’s Ring doorbells get fire alerts, an app store, and new sensors  TechCrunchRing’s Mobile Security Trailer provides 360-degree coverage anywhere  The VergeRing ready for end of the world as it turns cameras on fires  theregister.com

Edge devices across multiple applications share common attack vectors. Security functionality must be designed in from the start and be updatable. The post Security Threats Converge On IoT, Industrial ICs, appeared first on Semiconductor Engineering.

arXiv:1806.02008v3 Announce Type: replace Abstract: There has been increasing interest in the potential of blockchain in enhancing the security of devices and systems, such as Internet of Things (IoT). In this paper, we present a blockchain-based IoT security architecture, IoTchain. The three-tier architecture comprises an authentication layer, a blockchain layer and an application layer, and is designed to achieve identity authentication, access control, privacy protection, lightweight feature, regional node fault tolerance, denial-of-service resilience, and storage integrity. We also evaluate the performance of IoTchain to demonstrate its utility in an IoT deployment.

arXiv:2601.03917v1 Announce Type: new Abstract: The Time-Slotted Channel Hopping (TSCH) mode of IEEE802.15.4 standard provides ultra high end-to-end reliability and low-power consumption for application in field of Industrial Internet of Things (IIoT). With the evolving of Industrial 4.0, dynamic and bursty tasks with varied Quality of Service (QoS); effective management and utilization of growing number of mobile equipments become two major challenges for network solutions. The existing TSCH-based networks lack of a system framework design to handle these challenges. In this paper, we propose a novel, service-oriented, and hierarchical IoT network architecture named Mobile Node as a Service (Monaas). Monaas aims to systematically manage and schedule mobile nodes as on-demand, elastic resources through a new architectural design and protocol mechanisms. Its core features include a hierarchical architecture to balance global coordination with local autonomy, task-driven scheduling for

Samsara Inc. (NYSE:IOT) is one of the best strong buy stocks to invest in right now. Samsara Inc. (NYSE:IOT) was initiated with a Buy rating and $55 price target by BTIG on December 16, with the firm telling investors that despite scaling to $1.7 billion in annual recurring revenue, the company remained one of the […]

LAS VEGAS — LG Electronics plans to conduct a feasibility demonstration of its newly unveiled artificial intelligence home robot next year rather than rushing to set a commercialization timeline, CEO Lyu Jae-cheol said Wednesday (local time). However, he added that the timeline could be brought forward from the company’s existing road map depending on the results of the test, citing the rapid pace of advances in robotic technology. The Korean tech giant unveiled LG CLOiD at the world’s largest electronics trade show, which kicked off Tuesday, aiming for a “zero labor home” where smart appliances free people from household chores and allow them to focus on higher-value activities. Lyu said LG CLOiD will perform not only physical tasks but also ease mental burdens, such as deciding what to cook for dinner. In that context, questions have been growing over when the robot will enter service. “Rather than discussing a concrete commercialization timeline at this stage, we plan to move the

LAS VEGAS — LG Electronics plans to conduct a feasibility demonstration of its newly unveiled artificial intelligence (AI) home robot next year rather than rushing to set a commercialization timeline, CEO Lyu Jae-cheol said Wednesday (local time). However, he added that the timeline could be brought forward from the company’s existing roadmap depending on the results of the test, citing the rapid pace of advances in robotic technology. The Korean tech giant unveiled LG CLOiD at the world’s largest electronics trade show, which kicked off Tuesday, aiming for a “Zero Labor Home” where smart appliances free people from household chores and allow them to focus on higher-value activities. Lyu said LG CLOiD will perform not only physical tasks but also ease mental burdens, such as deciding what to cook for dinner. In that context, questions have been growing over when the robot will enter service. “Rather than discussing a concrete commercialization timeline at this stage, we plan to move

Six years after its CES debut, Samsung has demoted Ballie to internal use.

The Roborock Rover has garnered the attention that few devices can achieve at CES 2026, and I had the chance to see it in person.

Ring’s new smart home sensors use Sidewalk instead of Wi-Fi or Z-Wave  The VergeRing around the parking lot: Amazon’s security company unveils a $5,000 surveillance trailer  GeekWireAmazon’s Ring doorbells get fire alerts, an app store, and new sensors  TechCrunchRing and Watch Duty Team Up to Keep a Closer Eye on Wildfires  WIREDRing relaunches its suite of smart home sensors  Engadget

Ring’s new smart home sensors use Sidewalk instead of Wi-Fi or Z-Wave  The VergeRing around the parking lot: Amazon’s security company unveils a $5,000 surveillance trailer  GeekWireAmazon’s Ring doorbells get fire alerts, an app store, and new sensors  TechCrunchRing and Watch Duty Team Up to Keep a Closer Eye on Wildfires  WIREDRing relaunches its suite of smart home sensors  Engadget

It will raise itself to the perfect height to clean without ever getting stuck.

Top vacuum brands like Roborock, Dreame, and Narwal unveiled new robot vacuums at CES 2026. Several cordless and wet-dry vacuums are coming, too.

arXiv:2601.03085v1 Announce Type: new Abstract: To ensure reliability and service availability, next-generation networks are expected to rely on automated anomaly detection systems powered by advanced machine learning methods with the capability of handling multi-dimensional data. Such multi-dimensional, heterogeneous data occurs mostly in today's industrial Internet of Things (IIoT), where real-time detection of anomalies is critical to prevent impending failures and resolve them in a timely manner. However, existing anomaly detection methods often fall short of effectively coping with the complexity and dynamism of multi-dimensional data streams in IIoT. In this paper, we propose an adaptive method for detecting anomalies in IIoT streaming data utilizing a multi-source prediction model and concept drift adaptation. The proposed anomaly detection algorithm merges a prediction model into a novel drift adaptation method resulting in accurate and efficient anomaly detection that

arXiv:2601.03003v1 Announce Type: new Abstract: Reliable and energy-efficient Bluetooth Low Energy (BLE) communication is crucial for Internet of Things (IoT) applications in dynamic environments. However, the Received Signal Strength Indicator (RSSI) and data throughput in BLE are highly susceptible to environmental variability, which degrades communication performance. In this work, we systematically analyze the interdependence among RSSI, throughput, transmission power (TXP), and the peripheral device system power consumption under diverse real-world conditions. We observe that adjusting the TXP effectively influences both RSSI and throughput. We propose a robust closed-loop TXP control framework based on Proportional-Integral-Derivative (PID) controllers. Two initial control strategies are investigated: an RSSI-based approach and a throughput-based approach, each exhibiting distinct advantages and limitations. The RSSI-based method provides rapid responsiveness to signal

arXiv:2601.02981v1 Announce Type: new Abstract: The high rate of development of Internet of Things (IoT) devices has brought to attention new challenges in the area of data security, especially within the resource-limited realm of RFID tags, sensors, and embedded systems. Traditional cryptographic implementations can be of inappropriate computational complexity and energy usage and hence are not suitable on these platforms. This paper examines the design, implementation, and testing of lightweight cryptographic algorithms that have been specifically designed to be used in secure embedded systems. A comparison of some of the state-of-the-art lightweight encryption algorithms, that is PRESENT, SPECK, and SIMON, focuses on the main performance indicators, i.e., throughput, use of memory, and energy utilization. The study presents novel lightweight algorithms that are founded upon the Feistel-network architecture and their safety under cryptanalytic attacks, e.g., differential and linear

arXiv:2601.02930v1 Announce Type: new Abstract: In large-scale resource-constrained wireless networks, such as those prevalent in the Internet of Things (IoT), efficient communication scheduling remains a critical challenge. Among the various approaches, Time Division Multiple Access (TDMA) protocols have been widely adopted for their structured and collision-free communication capabilities. Nevertheless, despite extensive research in this area, current solutions often exhibit suboptimal performance, particularly in dynamic environments where node activity levels fluctuate over time. This paper introduces a novel fully distributed TDMA-based scheduling protocol that intelligently maximizes the utilization of communication resources. The proposed approach adaptively reallocates underutilized time slots, originally assigned to temporarily inactive nodes, to those experiencing higher communication demands. This dynamic reallocation not only improves channel utilization but also reduces

arXiv:2601.02376v1 Announce Type: new Abstract: This paper presents a Secure Edge Gateway Architecture for Wi-Fi-Enabled IoT designed to strengthen local network protection without altering existing infrastructure. The proposed gateway acts as an intermediate control point between Wi-Fi access points and the core network, monitoring traffic, isolating untrusted devices, and preventing common wireless attacks such as spoofing, deauthentication, and unauthorized access. The design focuses on adaptive traffic filtering and lightweight policy enforcement instead of complex analytical models, making it suitable for medium-sized network environments. The prototype gateway was deployed in a real office with around 70 total devices, including 28 IoT units such as sensors, cameras, and smart controllers. Over ten days of continuous operation, the system reduced successful spoofing incidents by 87% and improved recovery time after deauthentication by 42%, while increasing network latency by

Robot Vacuum Maker Roborock Shows Off Stair-Climbing Model With Legs  Bloomberg.comI've Never Seen a Robot Vacuum Conquer Stairs Like This Before  CNETCES promises the robot butler, but delivers better Roombas instead  The VergeRoborock at CES 2026: Walking Robot Vacuums, New Flagships, and a Broader Robotics Push  Vacuum WarsDreame's latest robot vacuum concept has slightly terrifying legs that can climb full-size stairs  Engadget

Robot Vacuum Maker Roborock Shows Off Stair-Climbing Model With Legs  Bloomberg.comI've Never Seen a Robot Vacuum Conquer Stairs Like This Before  CNETCES promises the robot butler, but delivers better Roombas instead  The VergeRoborock at CES 2026: Walking Robot Vacuums, New Flagships, and a Broader Robotics Push  Vacuum WarsDreame's latest robot vacuum concept has slightly terrifying legs that can climb full-size stairs  Engadget

Carpet cleaners aren't new, but a robot vacuum that can wash and dry carpets is. I saw the first at CES 2026, and as a bonus, it's even modular.

Dreame, a Chinese company known for making robot vacuums, just announced an 1,876hp EV supercar which it says is “engineered for records.” more…

Last year at CES, Dreame showed off a robot vacuum prototype with a mechanical arm. But while we were able to see the arm extend and retract, we didn’t see the device, which was described as a prototype at the time, actually grab anything, which was a bit disappointing. This year, though, the company has made its arm-enabled vacuum a reality with the Cyber 10 Ultra. Dreame previewed it recently at IFA in Berlin, but has now confirmed it will be on sale later this year.  The vacuum has an extendable arm that looks pretty similar to the prototype version we saw last year. It extends from the top of the vacuum and has a claw-like device at the end for scooping up objects. According to Dreame, it can pick up items that weigh up to 500 grams (about 1 pound) so it should be able to grab a wider variety of stuff than the Roborock vac we saw last year, which had a 300-gram weight limit for its arm.  The arm can also do more than pick up stuff from the floor. It supports

Robot vacuum companies are once again trying to outdo each other at CES 2026. This year, Chinese appliance maker Dreame is showing off a prototype of a device that can climb up and down an entire flight of stairs. The concept, called the Cyber X, was previewed last year at IFA in Berlin. The vacuum sports a somewhat terrifying set of legs with rubber treads that allow it to autonomously navigate multi-story environments. While Dreame has previously shown off vacuums that can move up smaller steps, it says the Cyber X can climb stairs up to 25cm (9.8 inches) high and slopes up to 42 degrees. It can manage both straight and curved staircases, and can climb a flight of steps in 27 seconds, according to the company. In addition to its legs, the Cyber X also has a built-in water tank to support mopping abilities, and a laser-powered navigation system to help it maneuver up stairs and around other obstacles. It also has a braking system that allows it to stay stable on floors and

Cleaning stairs is just the start.

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I watched Roborock's Saros Rover successfully dodge obstacles, climb stairs, clean the stairs and even dance. It blew me away at CES 2026.

I watched Roborock's Saros Rover successfully dodge obstacles, climb stairs, clean the stairs and even dance. It blew me away at CES 2026.

Dana Wollman / Bloomberg: Chinese robot vacuum maker Roborock unveils the Saros Rover, a concept robot vacuum with two wheel-legs to let it climb steps, as robotics dominates CES  —  Roborock, a Chinese robotic vacuum cleaner brand, unveiled a concept device with two legs that can climb stairs in people's homes …

The Qrevo Curv 2 Flow can tackle wet and dry messes. | Image: Roborock The market leader in robot vacuums has been behind in the latest trend - roller mops. But not for much longer. At CES this week, Roborock announced the Qrevo Curv 2 Flow, its first robot vacuum and mop with a motorized self-cleaning roller mop. The Flow features an extra-wide mop that the company says can clean more surface area in one pass than other models, and it spins at 220rpm with 15 Newtons of downward pressure. It self-cleans with eight water jets and a built-in scraper. The Flow has a "roller shield" that activates when the robot is on carpet, and the mop can extend from the bot to reach along edges. Roborock's current flagship v … Read the full story at The Verge.

Roborock's latest robovacs don't need help getting out of tricky situations. At least, that's one of the perks of the improved AdaptiLift Chassis 3.0 on the Roborock Saros 20 and Saros 20 Sonic announced today at CES 2026. The upgraded chassis in Roborock's new flagship robot vacuum cleaners allows the bots to climb over thresholds up to 3.3 inches tall total, including double-layer thresholds up to 1.7 and 1.57 inches per step. The bots can also clean carpets more effectively with dynamic chassis elevation that automatically adjusts the bots' height for carpets with pile up to 1.2 inches high. The height-adjustable chassis also helps th … Read the full story at The Verge.

Whether this stair-climbing—and cleaning!—robot is the first true whole-home robot vacuum remains to be seen.

The Roborock Rover has garnered the attention that few devices can achieve at CES 2026, and I had the chance to see it in person.

I'm back on the CES show floor, narrowing down the most compelling smart home devices I've spotted so far.

Ring turned up to CES with a whole host of announcements, including a revamped range of home sensors. Ring Sensors (for that is their name) is a new lineup of tools, built on Amazon’s Sidewalk low-power networking protocol. That includes updated versions of its door, window and break glass sensors, as well as a new OBD-II car alarm, motion detectors and panic buttons. You’ll be able to pre-order the new car alarm today, while the rest of the new sensors will be available at some point in March. And, in tandem with that news, Amazon is announcing that Sidewalk is expanding outside of the US, starting in Canada and Mexico. At the same time, the company is launching a number of enhancements to its app platform, including the Ring Appstore. This will let users purchase and integrate with third-party apps which have been built to cater to “specific use cases, from small business operations to everyday needs around the home.” The company added that, in the coming weeks, users will be

Ecovacs adds a mop cover to its flagship robot vacuum  The VergeECOVACS Showcases Its Acceleration Towards Full-Scenario Service Robotics at CES 2026  Yahoo FinanceEcovacs’ latest robot mower adds smarter mapping and an integrated trimmer  PCWorldECOVACS now makes robotic dog companions and pool cleaners  Android HeadlinesECOVACS showcases next generation robotic solutions that work inside and outside your home  techguide.com.au

Ecovacs adds a mop cover to its flagship robot vacuum  The VergeECOVACS Showcases Its Acceleration Towards Full-Scenario Service Robotics at CES 2026  Yahoo FinanceEcovacs’ latest robot mower adds smarter mapping and an integrated trimmer  PCWorldECOVACS now makes robotic dog companions and pool cleaners  Android HeadlinesECOVACS showcases next generation robotic solutions that work inside and outside your home  techguide.com.au

Aireal is a new AI assistant for the Tapo smart home. | IMAGE: TP-Link Tapo, the smart home brand owned by networking giant TP-Link, is launching an AI assistant at CES this year - because isn't everyone? Aireal is designed to "bring AI into real life" (geddit?), according to the company, and will help you "understand your home, quickly fix Wi-Fi issues and control your devices using natural language." The assistant will work across TP-Link's smart home products and Wi-Fi networking devices and will live in the Tapo and Deco apps. This should allow you to use natural language (via dictation in the app) to create new smart home routines or control devices by describing what you want to happen. For example, "St … Read the full story at The Verge.

Ugreen announced at CES 2026 that it'll be branching into smart home territory with the launch of its SynCare product line of cameras. The series will consist of two indoor cams, the ID500 Pro and ID500 Plus, the OD600 Pro outdoor cam, and the Video Doorbell DB600 Pro. All of this gear will launch in the second half of 2026, with pricing to be announced at IFA 2026. Both indoor cams have 4K capture with pan and tilt support, f1.0 aperture for great low-light performance (and colorized night vision), and use multimodal AI to recognize people, pets, and events. The video doorbell offers head-to-toe 4K capture and intelligent detection for pac … Read the full story at The Verge.

LG’s CLOiD home robot is headed to CES 2026 with a bold demo plan, laundry automation, folding included, plus a breakfast routine that coordinates ThinQ connected appliances through a rolling home hub. The post LG’s CLOiD home robot wants to do your laundry and cook you breakfast appeared first on Digital Trends.

Ugreen makes plenty of things, but you’re probably familiar with the name in the context of its NAS systems (should that be NASes? Who knows). Naturally, the company has turned up to CES 2026 with the former, but it’s also branching out into home security. It’s announcing SynCare, an AI infused all-in-one surveillance platform which, it rather boldly claims, will become an “attentive, integrated guardian” of your home. Leading the pack is the SynCare Video Doorbell with head-to-toe 4K video, intelligent detection and 24/7 recording — especially if you’ve got it hooked up to your Ugreen NAS. That works in tandem with SynCare cameras offering 4K video on a pan-tilt base and, of course, AI to recognise “people, pets and key events.” Ugreen is also offering a tablet, the SynCare Smart Display, a “home hub” to let you manage your cameras from a single place in your home.  The company is quick to highlight the major benefit of an at-home system like this, which is no need to pay

arXiv:2601.02245v1 Announce Type: new Abstract: The rapid increase of Internet of Things (IoT) systems across several domains has led to the generation of vast volumes of sensitive data, presenting significant challenges in terms of storage and data analytics. Cloud-assisted IoT solutions offer storage, scalability, and computational resources, but introduce new security and privacy risks that conventional trust-based approaches fail to adequately mitigate. To address these challenges, this paper presents MOZAIK, a novel end-to-end privacy-preserving confidential data storage and distributed processing architecture tailored for IoT-to-cloud scenarios. MOZAIK ensures that data remains encrypted throughout its lifecycle, including during transmission, storage, and processing. This is achieved by employing a cryptographic privacy-enhancing technology known as computing on encrypted data (COED). Two distinct COED techniques are explored, specifically secure multi-party computation (MPC)

arXiv:2601.01701v1 Announce Type: new Abstract: Anomaly detection is increasingly becoming crucial for maintaining the safety, reliability, and efficiency of industrial systems. Recently, with the advent of digital twins and data-driven decision-making, several statistical and machine-learning methods have been proposed. However, these methods face several challenges, such as dependence on only real sensor datasets, limited labeled data, high false alarm rates, and privacy concerns. To address these problems, we propose a suite of digital twin-integrated federated learning (DTFL) methods that enhance global model performance while preserving data privacy and communication efficiency. Specifically, we present five novel approaches: Digital Twin-Based Meta-Learning (DTML), Federated Parameter Fusion (FPF), Layer-wise Parameter Exchange (LPE), Cyclic Weight Adaptation (CWA), and Digital Twin Knowledge Distillation (DTKD). Each method introduces a unique mechanism to combine synthetic and

arXiv:2601.01308v1 Announce Type: new Abstract: The proliferation of Internet of Things (IoT) devices has introduced significant security challenges, primarily due to the opacity of firmware components and the complexity of supply chain dependencies. IoT firmware frequently relies on outdated, third-party libraries embedded within monolithic binary blobs, making vulnerability management difficult. While Software Bill of Materials (SBOM) standards have matured, generating actionable intelligence from raw firmware dumps remains a manual and error-prone process. This paper presents a lightweight, automated pipeline designed to extract file systems from Linux-based IoT firmware, generate a comprehensive SBOM, map identified components to known vulnerabilities, and apply a multi-factor triage scoring model. The proposed system focuses on risk prioritization by integrating signals from the Common Vulnerability Scoring System (CVSS), Exploit Prediction Scoring System (EPSS), and the CISA

arXiv:2601.01053v1 Announce Type: new Abstract: The proliferation of Internet of Things devices in critical infrastructure has created unprecedented cybersecurity challenges, necessitating collaborative threat detection mechanisms that preserve data privacy while maintaining robustness against sophisticated attacks. Traditional federated learning approaches for IoT security suffer from two critical vulnerabilities: susceptibility to Byzantine attacks where malicious participants poison model updates, and inadequacy against future quantum computing threats that can compromise cryptographic aggregation protocols. This paper presents a novel Byzantine-robust federated learning framework integrated with post-quantum secure aggregation specifically designed for real-time threat intelligence sharing across critical IoT infrastructure. The proposed framework combines a adaptive weighted aggregation mechanism with lattice-based cryptographic protocols to simultaneously defend against model

Linux and open source aren't making headlines at CES 2026, but they're working behind the scenes in embedded, automotive, and edge AI.