Internet of Things

Also known as IoT

The Internet of Things studies how connected devices sense and act in homes, factories, cities, and other environments, often with limited power, memory, and bandwidth. Researchers develop embedded and edge AI, federated learning, wireless protocols, and cloud-edge systems to analyze sensor data, coordinate devices, and reduce communication or energy costs. Security and privacy work includes intrusion detection, device identification, trust management, and learning methods that keep raw data local; newer systems also explore language-model agents for smart-home control and IoT development. A central challenge is making these methods reliable across heterogeneous devices and changing conditions, since strong benchmark results do not always transfer to robust, secure real-world deployments.

Latest papers

107 papers12 papers in the last four weeks, up 20% on the four weeks before. 0.1% of all new papers.

TFZ-Tree: An Ultra-Lightweight Waveform Classification Framework for Resource-Constrained Devices
May 15, 2026Hao Wang, Kuang Zhang, Yonggang Chi +3Efficient Inference Internet of Things
Dywave: Event-Aligned Dynamic Tokenization for Heterogeneous IoT Sensing Signals
May 13, 2026Tomoyoshi Kimura, Denizhan Kara, Jinyang Li +6Internet of Things Time Series Tokenization
University of Illinois Urbana-Champaign · Hong Kong University of Science and Technology · Shanghai Jiao Tong University
PoHAR: Understanding Hyperlocal Human Activities with Pollution Sensor Networks
May 10, 2026Prasenjit Karmakar, Karthik Reddy, Sandip ChakrabortyHuman Activity Recognition Internet of Things
Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India.
Privacy-Preserving Distributed Learning in IoT Systems: A Unified Threat Model and Evaluation Framework
May 10, 2026John Cartmell, Alexander WilliamsInternet of Things Privacy-Preserving ML
Department of Electrical Engineering and Computer Science
MIST: Multimodal Interactive Speech-based Tool-calling Conversational Assistants for Smart Homes
May 7, 2026Maximillian Chen, Xuanming Zhang, Michael Peng +3Tool-Augmented Language Model Agents Multimodal Large Language Models
Columbia University · Seoul National University
Smart Railway Obstruction Detection System using IoT and Computer Vision
May 7, 2026Pravin Kumar, Mritunjay Shall Peelam, Ramakant Kumar +2Internet of Things Anomaly Detection
School of Computer Science, University of Petroleum and Energy Studies (UPES), Dehradun, 248001, Uttarakhand, India · Department of Computer Science, Galgotias College of Engineering & Technology · Department of Computer Science, NIT Jamshedpur +2
VARS-FL: Validation-Aligned Client Selection for Non-IID Federated Learning in IoT Systems
May 7, 2026Mohamed Lakas, Mohamed Amine FerragIoT Intrusion Detection Client Selection in Federated Learning
College of Information Technology, United Arab Emirates University, UAE
APIOT: Autonomous Vulnerability Management Across Bare-Metal Industrial OT Networks
May 4, 2026Adel ElZemity, Budi Arief, Shujun Li +6Industrial Control System Security Autonomous Cyber Defense
University of Kent, Canterbury, United Kingdom · University of Bristol, United Kingdom
EdgeSpike: Spiking Neural Networks for Low-Power Autonomous Sensing in Edge IoT Architectures
Apr 29, 2026Gustav Olaf Yunus Laitinen-Fredriksson Lundstrom-Imanov, Taner YilmazEnergy-Efficient ML Edge Inference
Department of Economics, Stockholm University, Universitetsvägen 10 A, SE-106 91 Stockholm, Sweden · Department of Computer Engineering, Afyon Kocatepe University, 03200 Afyonkarahisar, Türkiye
Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directions
Apr 27, 2026Driss Choukri, Essaid Sabir, Elmahdi Driouch +1Internet of Things
Computer Networks, Mobility and Modeling Laboratory (IR2M), FST, Hassan I University of Settat, Morocco · Department of Science and Technology, T´ELUQ, University of Quebec, Montreal, H2S 3L4, Canada · Department of Computer Science, University of Quebec at Montreal (UQAM), Montreal, H2L 2C4, Canada
Channel-Free Human Activity Recognition via Inductive-Bias-Aware Fusion Design for Heterogeneous IoT Sensor Environments
Apr 23, 2026Tatsuhito HasegawaHuman Activity Recognition Internet of Things
Graduate School of Engineering, University of Fukui, Bunkyo, Fukui, 9108507, Fukui, Japan
IGADA-IoT: IoT Sensor Energy Optimization in Wireless Sensor Networks Driven by Automatic Data Augmentation
Apr 22, 2026Mingchun Sun, Rongqiang Zhao, Muhammad Abdul Munnaf +1Synthetic Data Augmentation Data Augmentation
Faculty of Computing, Harbin Institute of Technology, Harbin 150001, China. · State Key Laboratory of Smart Farm Technologies and Systems, Harbin 150001, China. · Agricultural Biosystems Engineering, Wageningen University and Research, Wageningen 6703 CH, Netherlands.
Towards Energy Impact on AI-Powered 6G IoT Networks: Centralized vs. Decentralized
Apr 21, 2026Anjie Qiu, Donglin Wang, Sanket Partani +2Energy-Efficient ML Internet of Things
*Institute for Wireless Communication and Navigation (WiCoN), University of Kaiserslautern-Landau (RPTU) · +Intelligent Networks Research Group (IN), German Research Center for Artificial Intelligence (DFKI)
Trust Your Memory: Verifiable Control of Smart Homes through Reinforcement Learning with Multi-dimensional Rewards
Apr 11, 2026Kai-Yuan Guo, Jiang Wang, Renjie Zhao +5Memory-Augmented Language Model Agents Internet of Things
AI Research Center, Midea Group, Shanghai, China
Semantic-Aware UAV Command and Control for Efficient IoT Data Collection
Apr 9, 2026Assane Sankara, Daniel Bonilla Licea, Hajar El HammoutiUAV Trajectory Optimization Internet of Things
College of Computing, Mohammed VI Polytechnic University (UM6P), Ben Guerir, Morocco
RL-ASL: A Dynamic Listening Optimization for TSCH Networks Using Reinforcement Learning
Apr 8, 2026F. Fernando Jurado-Lasso, J. F. JuradoIndustrial Internet of Things Wireless Communications
independent researcher, based in Cali, Colombia · Department of Basic Science, Faculty of Engineering and Administration, Universidad Nacional de Colombia Sede Palmira, Palmira 763531, Colombia
IoT-Zoo: A Container-Based Framework for Heterogeneous IoT Device Profiles and Reproducible Traffic Capture
Apr 7, 2026Vagner E. Quincozes, Diego Kreutz, Silvio E. QuincozesInternet of Things Scientific Reproducibility
Federal Fluminense University (UFF) · AI Horizon Labs and PPGES – Federal University of Pampa (UNIPAMPA)
Agents for Agents: An Interrogator-Based Secure Framework for Autonomous Internet of Underwater Things
Apr 5, 2026Ali Akarma, Toqeer Ali Syed, Abdul Khadar Jilani +4Multi-Agent System Security Internet of Things
AI Center, Faculty of Computer and Information Systems, Islamic University of Madinah, Madinah 42351, Saudi Arabia · College of Computer Studies, University of Technology Bahrain, Sitra 18041, Bahrain · Faculty of Computer Studies, Arab Open University-Bahrain, Manama 32038, Bahrain +3
Downsides of Smartness Across Edge-Cloud Continuum in Modern Industry
Mar 31, 2026Akhil Gupta Chigullapally, Sharvan Vittala, Razin Farhan Hussian +1Cybersecurity Internet of Things
Department of Computer Science and Engineering, University of North Texas (UNT) · Versaterm Public Safety Inc., Canada · High Performance Cloud Computing (HPCC) Lab, Department of Computer Science and Engineering, University of North Texas (UNT)
TinyML for Acoustic Anomaly Detection in IoT Sensor Networks
Mar 27, 2026Amar Almaini, Jakob Folz, Ghadeer AshourAnomaly Detection Tiny ML
computer science, Deggendorf Institute of Technology, Deggendorf, Germany · Computer Science and Engineering, University of West Bohemia, Pilsen, Czech Republic · The Applied College, King Abdulaziz University, Jeddah, Saudi Arabia
Design and Development of an ML/DL Attack Resistance of RC-Based PUF for IoT Security
Mar 26, 2026Joy Acharya, Smit Patel, Paawan Sharma +1Internet of Things Model Extraction Attacks
Department of ICT, Pandit Deendayal Energy University Gandhinagar, Gujarat 382007, India
Energy-Efficient Hierarchical Federated Anomaly Detection for the Internet of Underwater Things via Selective Cooperative Aggregation
Mar 25, 2026Kenechi Omeke, Michael Mollel, Lei Zhang +2Federated Learning Hierarchical Federated Learning
James Watt School of Engineering, University of Glasgow, U.K.
Toward a Multi-Layer ML-Based Security Framework for Industrial IoT
Mar 25, 2026Aymen Bouferroum, Valeria Loscri, Abderrahim BenslimaneInternet of Things IoT Intrusion Detection
LIA · Inria Lille-Nord Europe, Lille, France · LIA/CERI University of Avignon, Avignon, France
MsFormer: Enabling Robust Predictive Maintenance Services for Industrial Devices
Mar 24, 2026Jiahui Zhou, Dan Li, Ruibing Jin +5Industrial Internet of Things Predictive Maintenance
School of Software Engineering, Sun Yat-Sen University, China · Agency for Science, Technology and Research (A*STAR), Singapore · School of the Art Institute of Chicago, Chicago +1
Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks
Mar 23, 2026Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj PokhrelQuantum Federated Learning Anomaly Detection
School of Information Technology, Deakin University, Geelong, Australia
Federated Hyperdimensional Computing for Resource-Constrained Industrial IoT
Mar 20, 2026Nikita Zeulin, Olga Galinina, Nageen Himayat +1Industrial Internet of Things Hyperdimensional Computing
Tampere University, Tampere, Finland · Tampere Institute for Advanced Study, Tampere University, Finland · Intel Corporation, Santa Clara, CA, United States
Skilled AI Agents for Embedded and IoT Systems Development
Mar 20, 2026Yiming Li, Yuhan Cheng, Mingchen Ma +6AI Coding Agents AI Agent Benchmarks
Department of Electrical and Computer Engineering, Duke University
QuantFL: Sustainable Federated Learning for Edge IoT via Pre-Trained Model Quantisation
Mar 18, 2026Charuka Herath, Yogachandran Rahulamathavan, Varuna De Silva +1Federated Learning Neural Network Quantization
Institute of Digital Technologies, Loughborough University, UK
HearthNet: Edge Multi-Agent Orchestration for Smart Homes
Mar 16, 2026Zhonghao Zhan, Krinos Li, Yefan Zhang +1LLM Agent Orchestration Internet of Things
Imperial College London, London, UK · Independent Researcher, Seattle, USA
Privacy-Preserving Machine Learning for IoT: A Cross-Paradigm Survey and Future Roadmap
Mar 13, 2026Zakia Zaman, Praveen Gauravaram, Mahbub Hassan +2Privacy-Preserving ML Internet of Things
School of CSE, University of NSW, AU · TCS Research & Innovation, Tata Consultancy Services (Australia & New Zealand), Australia

May 15, 2026J/K move · Enter open · S save

TFZ-Tree: An Ultra-Lightweight Waveform Classification Framework for Resource-Constrained Devices

Hao Wang, Kuang Zhang, Yonggang Chi, Tianqi Zhao+2

Efficient Inference Internet of Things Wireless Communications Decision Tree Learning Power-Efficient Inference

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Under the trend of multi-waveform coexistence in 6G IoT, intelligent receivers must first identify physical-layer waveform types before performing correct demodulation and resource scheduling. However, existing signal identification research largely focuses on symbol-level modulation classification. Research directly targeting physical-layer waveform types (e.g., OFDM, OTFS, LoRa) is not only extremely scarce but also heavily reliant on deep neural networks and complex time-frequency transforms, making deployment on resource-constrained terminals difficult. Symbol modulation classification methods themselves cannot circumvent the prerequisite of ``waveform identification first.'' To address this dual gap, we propose an ultra-lightweight waveform classification framework based on time-frequency multidimensional features with a cooperative Z-test tree (ZTree). The framework employs low-complexity time-domain feature extraction, and the classification backend adopts a ZTree optimized by Z-statistical testing, which uses hypothesis testing confidence to automatically control decision tree splitting and size, ensuring efficient execution on resource-limited processors. Tested on ten 6G candidate waveforms including OFDM, OTFS, DSSS, LoRa, and NB-IoT, the method achieves 99.5% average accuracy under AWGN and 87.4% under TDL-C multipath channels, with main confusion between OTFS and LoRa. Implemented in C on an x86 platform, single inference latency is under 4~ms. To the best of our knowledge, this is the first work achieving real-time recognition of ten IoT waveform types. Future work will target deployment acceleration on embedded MCUs. Code and dataset are open-sourced at: https://github.com/Einstein-sworder/IoT-wave.