OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Internet of Things Journal is 118. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)

Article	Citations
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence	496
6G Internet of Things: A Comprehensive Survey	391
Anomaly Detection for IoT Time-Series Data: A Survey	328
Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach	324
Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things	311
A Learning-Based Incentive Mechanism for Federated Learning	311
CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques	304
A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond	304
Digital Twin Networks: A Survey	299
Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things	297
Enabling Massive IoT Toward 6G: A Comprehensive Survey	295
Blockchain for Future Smart Grid: A Comprehensive Survey	292
Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things	283
Decentralized Privacy Using Blockchain-Enabled Federated Learning in Fog Computing	275
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges	272
IoT, Big Data, and Artificial Intelligence in Agriculture and Food Industry	268
A Survey on Access Control in the Age of Internet of Things	264
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices	261
Joint Task Offloading and Resource Allocation in UAV-Enabled Mobile Edge Computing	253
Supporting IoT With Rate-Splitting Multiple Access in Satellite and Aerial-Integrated Networks	252
Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach	241
Communication-Efficient Federated Learning for Wireless Edge Intelligence in IoT	238
Deep Reinforcement Learning for Smart Home Energy Management	233
Federated Learning With Cooperating Devices: A Consensus Approach for Massive IoT Networks	233
A Vision of C-V2X: Technologies, Field Testing, and Challenges With Chinese Development	231

Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching	228
Cooperative Computation Offloading and Resource Allocation for Blockchain-Enabled Mobile-Edge Computing: A Deep Reinforcement Learning Approach	227
Federated-Learning-Based Anomaly Detection for IoT Security Attacks	226
Blockchain for the Internet of Vehicles Towards Intelligent Transportation Systems: A Survey	224
Edge-Computing-Enabled Smart Cities: A Comprehensive Survey	223
Passban IDS: An Intelligent Anomaly-Based Intrusion Detection System for IoT Edge Devices	221
A Survey on Federated Learning for Resource-Constrained IoT Devices	221
Multi-UAV-Enabled Load-Balance Mobile-Edge Computing for IoT Networks	215
IoT-Based Big Data Secure Management in the Fog Over a 6G Wireless Network	202
Reliable Computation Offloading for Edge-Computing-Enabled Software-Defined IoV	199
A Deep Blockchain Framework-Enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks	199
Learning-Based Context-Aware Resource Allocation for Edge-Computing-Empowered Industrial IoT	195
An In-Depth Analysis of IoT Security Requirements, Challenges, and Their Countermeasures via Software-Defined Security	188
Interaction of Edge-Cloud Computing Based on SDN and NFV for Next Generation IoT	182
Internet of Things (IoT): A Review of Its Enabling Technologies in Healthcare Applications, Standards Protocols, Security, and Market Opportunities	181
Energy-Optimized Partial Computation Offloading in Mobile-Edge Computing With Genetic Simulated-Annealing-Based Particle Swarm Optimization	176
UAV-Assisted Wireless Powered Cooperative Mobile Edge Computing: Joint Offloading, CPU Control, and Trajectory Optimization	174
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multitimescale Resource Management for Multiaccess Edge Computing in 5G Ultradense Network	174
Digital Twin for Intelligent Context-Aware IoT Healthcare Systems	174
AoI-Minimal Trajectory Planning and Data Collection in UAV-Assisted Wireless Powered IoT Networks	172
Kalman-Filter-Based Integration of IMU and UWB for High-Accuracy Indoor Positioning and Navigation	172
Deep-Reinforcement-Learning-Based Offloading Scheduling for Vehicular Edge Computing	171
MEC-Assisted Immersive VR Video Streaming Over Terahertz Wireless Networks: A Deep Reinforcement Learning Approach	169
Deep-Learning-Enhanced Multitarget Detection for End–Edge–Cloud Surveillance in Smart IoT	166
Embedding Blockchain Technology Into IoT for Security: A Survey	164
EEDTO: An Energy-Efficient Dynamic Task Offloading Algorithm for Blockchain-Enabled IoT-Edge-Cloud Orchestrated Computing	161
Dynamic-Fusion-Based Federated Learning for COVID-19 Detection	159
Completion Time and Energy Optimization in the UAV-Enabled Mobile-Edge Computing System	159
Context-Aware QoS Prediction With Neural Collaborative Filtering for Internet-of-Things Services	158
Local Differential Privacy-Based Federated Learning for Internet of Things	158
FlowGuard: An Intelligent Edge Defense Mechanism Against IoT DDoS Attacks	156
Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0	155
Collaborate Edge and Cloud Computing With Distributed Deep Learning for Smart City Internet of Things	154
Learning-Driven Detection and Mitigation of DDoS Attack in IoT via SDN-Cloud Architecture	153
Adversarial Attacks Against Network Intrusion Detection in IoT Systems	151
A Game-Based Computation Offloading Method in Vehicular Multiaccess Edge Computing Networks	150
A Blockchain-SDN-Enabled Internet of Vehicles Environment for Fog Computing and 5G Networks	148
A Survey on Security and Privacy Issues in Edge-Computing-Assisted Internet of Things	148
Privacy-Preserving Federated Learning in Fog Computing	148
A Multicloud-Model-Based Many-Objective Intelligent Algorithm for Efficient Task Scheduling in Internet of Things	147
Deep Reinforcement Learning for Resource Protection and Real-Time Detection in IoT Environment	146
Recent Advances in the Internet-of-Medical-Things (IoMT) Systems Security	144
Challenges to IoT-Enabled Predictive Maintenance for Industry 4.0	144
Personalized Federated Learning With Differential Privacy	144
Communication-Efficient Federated Learning and Permissioned Blockchain for Digital Twin Edge Networks	143
Dependency-Aware Task Scheduling in Vehicular Edge Computing	143
Fortified-Chain: A Blockchain-Based Framework for Security and Privacy-Assured Internet of Medical Things With Effective Access Control	141
Hybrid Satellite-Terrestrial Communication Networks for the Maritime Internet of Things: Key Technologies, Opportunities, and Challenges	141
Deep-Reinforcement-Learning-Based Mode Selection and Resource Allocation for Cellular V2X Communications	140
A Review of Deep Reinforcement Learning for Smart Building Energy Management	139

Hierarchical Adversarial Attacks Against Graph-Neural-Network-Based IoT Network Intrusion Detection System	139
Recent Advances on Federated Learning for Cybersecurity and Cybersecurity for Federated Learning for Internet of Things	138
BeepTrace: Blockchain-Enabled Privacy-Preserving Contact Tracing for COVID-19 Pandemic and Beyond	138
Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT	137
Dynamic Task Offloading and Resource Allocation for Mobile-Edge Computing in Dense Cloud RAN	136
Evaluating IoT Platforms Using Integrated Probabilistic Linguistic MCDM Method	136
Designing Blockchain-Based Access Control Protocol in IoT-Enabled Smart-Grid System	135
UAV-Supported Clustered NOMA for 6G-Enabled Internet of Things: Trajectory Planning and Resource Allocation	135
FedMCCS: Multicriteria Client Selection Model for Optimal IoT Federated Learning	134
Learning Graph Structures With Transformer for Multivariate Time-Series Anomaly Detection in IoT	134
Realizing an Effective COVID-19 Diagnosis System Based on Machine Learning and IoT in Smart Hospital Environment	132
Joint Optimization of Offloading Utility and Privacy for Edge Computing Enabled IoT	131
Computing Systems for Autonomous Driving: State of the Art and Challenges	131
AI-Based Joint Optimization of QoS and Security for 6G Energy Harvesting Internet of Things	131
Privacy-Preserving Multiobjective Sanitization Model in 6G IoT Environments	130
Adversarial Examples—Security Threats to COVID-19 Deep Learning Systems in Medical IoT Devices	129
URLLC Facilitated by Mobile UAV Relay and RIS: A Joint Design of Passive Beamforming, Blocklength, and UAV Positioning	129
Blockchain-Enabled Secure Data Sharing Scheme in Mobile-Edge Computing: An Asynchronous Advantage Actor–Critic Learning Approach	129
A Survey on Indoor Positioning Systems for IoT-Based Applications	128
A New Subspace Clustering Strategy for AI-Based Data Analysis in IoT System	128
Smart Bandage With Wireless Strain and Temperature Sensors and Batteryless NFC Tag	128
Toward Edge-Based Deep Learning in Industrial Internet of Things	128
Optimal Eco-Driving Control of Connected and Autonomous Vehicles Through Signalized Intersections	127
DeepComfort: Energy-Efficient Thermal Comfort Control in Buildings Via Reinforcement Learning	127
Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks	127
A Novel Intelligent Medical Decision Support Model Based on Soft Computing and IoT	127
Big Data Analytics for 6G-Enabled Massive Internet of Things	127
Millimeter-Wave Communication for Internet of Vehicles: Status, Challenges, and Perspectives	125
Blockchain and PUF-Based Lightweight Authentication Protocol for Wireless Medical Sensor Networks	125
A DRL Agent for Jointly Optimizing Computation Offloading and Resource Allocation in MEC	124
A Lightweight and Robust Secure Key Establishment Protocol for Internet of Medical Things in COVID-19 Patients Care	123
DeepEDN: A Deep-Learning-Based Image Encryption and Decryption Network for Internet of Medical Things	123
5G Embraces Satellites for 6G Ubiquitous IoT: Basic Models for Integrated Satellite Terrestrial Networks	122
PoisonGAN: Generative Poisoning Attacks Against Federated Learning in Edge Computing Systems	122
Addressing Security and Privacy Issues of IoT Using Blockchain Technology	122
Computation Offloading in LEO Satellite Networks With Hybrid Cloud and Edge Computing	121
Federated Deep Learning for Zero-Day Botnet Attack Detection in IoT-Edge Devices	120
Edge QoE: Computation Offloading With Deep Reinforcement Learning for Internet of Things	120
Energy-Efficient Smart Routing Based on Link Correlation Mining for Wireless Edge Computing in IoT	119
Local Differential Privacy for Deep Learning	119
Deep-Learning-Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks	118
A Survey of Recent Advances in Edge-Computing-Powered Artificial Intelligence of Things	118
Energy-Efficient Random Access for LEO Satellite-Assisted 6G Internet of Remote Things	118