OOIR: Observatory of International Research

Papers

(The median citation count of IEEE Internet of Things Journal is 4. 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 2020-05-01 to 2024-05-01.)

Article	Citations
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence	515
6G Internet of Things: A Comprehensive Survey	413
Anomaly Detection for IoT Time-Series Data: A Survey	335
Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach	331
A Learning-Based Incentive Mechanism for Federated Learning	323
Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things	317
A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond	316
Digital Twin Networks: A Survey	315
CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques	311
Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things	305
Enabling Massive IoT Toward 6G: A Comprehensive Survey	303
Blockchain for Future Smart Grid: A Comprehensive Survey	299
Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things	289
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges	285
IoT, Big Data, and Artificial Intelligence in Agriculture and Food Industry	284
Decentralized Privacy Using Blockchain-Enabled Federated Learning in Fog Computing	283
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices	272
A Survey on Access Control in the Age of Internet of Things	268
Supporting IoT With Rate-Splitting Multiple Access in Satellite and Aerial-Integrated Networks	262
Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach	250
Communication-Efficient Federated Learning for Wireless Edge Intelligence in IoT	250
A Survey on Federated Learning for Resource-Constrained IoT Devices	240
Federated-Learning-Based Anomaly Detection for IoT Security Attacks	238
Federated Learning With Cooperating Devices: A Consensus Approach for Massive IoT Networks	238
A Vision of C-V2X: Technologies, Field Testing, and Challenges With Chinese Development	236

Blockchain for the Internet of Vehicles Towards Intelligent Transportation Systems: A Survey	234
Cooperative Computation Offloading and Resource Allocation for Blockchain-Enabled Mobile-Edge Computing: A Deep Reinforcement Learning Approach	234
Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching	231
Passban IDS: An Intelligent Anomaly-Based Intrusion Detection System for IoT Edge Devices	229
Edge-Computing-Enabled Smart Cities: A Comprehensive Survey	228
Multi-UAV-Enabled Load-Balance Mobile-Edge Computing for IoT Networks	217
A Deep Blockchain Framework-Enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks	207
Reliable Computation Offloading for Edge-Computing-Enabled Software-Defined IoV	205
IoT-Based Big Data Secure Management in the Fog Over a 6G Wireless Network	205
Learning-Based Context-Aware Resource Allocation for Edge-Computing-Empowered Industrial IoT	201
An In-Depth Analysis of IoT Security Requirements, Challenges, and Their Countermeasures via Software-Defined Security	195
Energy-Optimized Partial Computation Offloading in Mobile-Edge Computing With Genetic Simulated-Annealing-Based Particle Swarm Optimization	186
Internet of Things (IoT): A Review of Its Enabling Technologies in Healthcare Applications, Standards Protocols, Security, and Market Opportunities	185
Interaction of Edge-Cloud Computing Based on SDN and NFV for Next Generation IoT	184
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multitimescale Resource Management for Multiaccess Edge Computing in 5G Ultradense Network	184
Digital Twin for Intelligent Context-Aware IoT Healthcare Systems	182
AoI-Minimal Trajectory Planning and Data Collection in UAV-Assisted Wireless Powered IoT Networks	181
Deep-Reinforcement-Learning-Based Offloading Scheduling for Vehicular Edge Computing	175
MEC-Assisted Immersive VR Video Streaming Over Terahertz Wireless Networks: A Deep Reinforcement Learning Approach	174
EEDTO: An Energy-Efficient Dynamic Task Offloading Algorithm for Blockchain-Enabled IoT-Edge-Cloud Orchestrated Computing	172
Deep-Learning-Enhanced Multitarget Detection for End–Edge–Cloud Surveillance in Smart IoT	171
Completion Time and Energy Optimization in the UAV-Enabled Mobile-Edge Computing System	170
Embedding Blockchain Technology Into IoT for Security: A Survey	169
FlowGuard: An Intelligent Edge Defense Mechanism Against IoT DDoS Attacks	165
Local Differential Privacy-Based Federated Learning for Internet of Things	164
Dynamic-Fusion-Based Federated Learning for COVID-19 Detection	164
Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0	163
Collaborate Edge and Cloud Computing With Distributed Deep Learning for Smart City Internet of Things	160
Context-Aware QoS Prediction With Neural Collaborative Filtering for Internet-of-Things Services	158
A Survey on Security and Privacy Issues in Edge-Computing-Assisted Internet of Things	157
Adversarial Attacks Against Network Intrusion Detection in IoT Systems	157
A Game-Based Computation Offloading Method in Vehicular Multiaccess Edge Computing Networks	154
Privacy-Preserving Federated Learning in Fog Computing	153
Recent Advances in the Internet-of-Medical-Things (IoMT) Systems Security	153
Dependency-Aware Task Scheduling in Vehicular Edge Computing	152
Personalized Federated Learning With Differential Privacy	151
A Multicloud-Model-Based Many-Objective Intelligent Algorithm for Efficient Task Scheduling in Internet of Things	150
A Blockchain-SDN-Enabled Internet of Vehicles Environment for Fog Computing and 5G Networks	149
Deep Reinforcement Learning for Resource Protection and Real-Time Detection in IoT Environment	148
Communication-Efficient Federated Learning and Permissioned Blockchain for Digital Twin Edge Networks	148
Challenges to IoT-Enabled Predictive Maintenance for Industry 4.0	148
Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT	148
Recent Advances on Federated Learning for Cybersecurity and Cybersecurity for Federated Learning for Internet of Things	147
Fortified-Chain: A Blockchain-Based Framework for Security and Privacy-Assured Internet of Medical Things With Effective Access Control	147
A Review of Deep Reinforcement Learning for Smart Building Energy Management	145
Deep-Reinforcement-Learning-Based Mode Selection and Resource Allocation for Cellular V2X Communications	144
Hybrid Satellite-Terrestrial Communication Networks for the Maritime Internet of Things: Key Technologies, Opportunities, and Challenges	144
Hierarchical Adversarial Attacks Against Graph-Neural-Network-Based IoT Network Intrusion Detection System	142
Learning Graph Structures With Transformer for Multivariate Time-Series Anomaly Detection in IoT	141
BeepTrace: Blockchain-Enabled Privacy-Preserving Contact Tracing for COVID-19 Pandemic and Beyond	141

Computing Systems for Autonomous Driving: State of the Art and Challenges	139
FedMCCS: Multicriteria Client Selection Model for Optimal IoT Federated Learning	139
A Survey on Indoor Positioning Systems for IoT-Based Applications	139
UAV-Supported Clustered NOMA for 6G-Enabled Internet of Things: Trajectory Planning and Resource Allocation	139
Evaluating IoT Platforms Using Integrated Probabilistic Linguistic MCDM Method	138
AI-Based Joint Optimization of QoS and Security for 6G Energy Harvesting Internet of Things	136
Designing Blockchain-Based Access Control Protocol in IoT-Enabled Smart-Grid System	135
Realizing an Effective COVID-19 Diagnosis System Based on Machine Learning and IoT in Smart Hospital Environment	133
Privacy-Preserving Multiobjective Sanitization Model in 6G IoT Environments	133
Optimal Eco-Driving Control of Connected and Autonomous Vehicles Through Signalized Intersections	132
URLLC Facilitated by Mobile UAV Relay and RIS: A Joint Design of Passive Beamforming, Blocklength, and UAV Positioning	132
A New Subspace Clustering Strategy for AI-Based Data Analysis in IoT System	132
Adversarial Examples—Security Threats to COVID-19 Deep Learning Systems in Medical IoT Devices	132
DeepEDN: A Deep-Learning-Based Image Encryption and Decryption Network for Internet of Medical Things	131
Toward Edge-Based Deep Learning in Industrial Internet of Things	131
Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks	131
Blockchain-Enabled Secure Data Sharing Scheme in Mobile-Edge Computing: An Asynchronous Advantage Actor–Critic Learning Approach	130
DeepComfort: Energy-Efficient Thermal Comfort Control in Buildings Via Reinforcement Learning	130
Smart Bandage With Wireless Strain and Temperature Sensors and Batteryless NFC Tag	130
Big Data Analytics for 6G-Enabled Massive Internet of Things	129
Millimeter-Wave Communication for Internet of Vehicles: Status, Challenges, and Perspectives	128
5G Embraces Satellites for 6G Ubiquitous IoT: Basic Models for Integrated Satellite Terrestrial Networks	128
Blockchain and PUF-Based Lightweight Authentication Protocol for Wireless Medical Sensor Networks	128
Federated Deep Learning for Zero-Day Botnet Attack Detection in IoT-Edge Devices	128
A Lightweight and Robust Secure Key Establishment Protocol for Internet of Medical Things in COVID-19 Patients Care	128
Computation Offloading in LEO Satellite Networks With Hybrid Cloud and Edge Computing	127
A DRL Agent for Jointly Optimizing Computation Offloading and Resource Allocation in MEC	127
A Novel Intelligent Medical Decision Support Model Based on Soft Computing and IoT	127
PoisonGAN: Generative Poisoning Attacks Against Federated Learning in Edge Computing Systems	127
Addressing Security and Privacy Issues of IoT Using Blockchain Technology	126
A Survey of Recent Advances in Edge-Computing-Powered Artificial Intelligence of Things	124
Deep Reinforcement Learning for Energy-Efficient Computation Offloading in Mobile-Edge Computing	124
Deep-Learning-Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks	123
Local Differential Privacy for Deep Learning	123
From Pre-Quantum to Post-Quantum IoT Security: A Survey on Quantum-Resistant Cryptosystems for the Internet of Things	122
Edge QoE: Computation Offloading With Deep Reinforcement Learning for Internet of Things	122
Energy-Efficient Random Access for LEO Satellite-Assisted 6G Internet of Remote Things	122
Energy-Efficient Smart Routing Based on Link Correlation Mining for Wireless Edge Computing in IoT	120
Data-Driven Trajectory Quality Improvement for Promoting Intelligent Vessel Traffic Services in 6G-Enabled Maritime IoT Systems	120
Internet of Ships: A Survey on Architectures, Emerging Applications, and Challenges	120
The Performance Evaluation of Blockchain-Based Security and Privacy Systems for the Internet of Things: A Tutorial	119
Enabling Drones in the Internet of Things With Decentralized Blockchain-Based Security	119
LEO-Satellite-Assisted UAV: Joint Trajectory and Data Collection for Internet of Remote Things in 6G Aerial Access Networks	118
MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles	118
A Blockchain-Based Trust Management With Conditional Privacy-Preserving Announcement Scheme for VANETs	117
An Ensemble of Deep Recurrent Neural Networks for Detecting IoT Cyber Attacks Using Network Traffic	117
ToN_IoT: The Role of Heterogeneity and the Need for Standardization of Features and Attack Types in IoT Network Intrusion Data Sets	117
Toward the Internet of Things for Physical Internet: Perspectives and Challenges	117
Reliability in Internet of Things: Current Status and Future Perspectives	116
DPTO: A Deadline and Priority-Aware Task Offloading in Fog Computing Framework Leveraging Multilevel Feedback Queueing	116
A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges	116
Integrated Satellite-Terrestrial Networks Toward 6G: Architectures, Applications, and Challenges	115
Mobile Internet of Things Under Data Physical Fusion Technology	114
Realizing the Heterogeneity: A Self-Organized Federated Learning Framework for IoT	113
Applications of the Internet of Things (IoT) in Smart Logistics: A Comprehensive Survey	113
A Scalable Protocol for Driving Trust Management in Internet of Vehicles With Blockchain	113
AUV-Aided Energy-Efficient Data Collection in Underwater Acoustic Sensor Networks	110
A Rigid-Flex Wearable Health Monitoring Sensor Patch for IoT-Connected Healthcare Applications	110
PPO-CPQ: A Privacy-Preserving Optimization of Clinical Pathway Query for E-Healthcare Systems	110
Deep Learning in the Industrial Internet of Things: Potentials, Challenges, and Emerging Applications	108
Adaptive Edge Association for Wireless Digital Twin Networks in 6G	108
Reliability-Constrained Throughput Optimization of Industrial Wireless Sensor Networks With Energy Harvesting Relay	108
Smart Collaborative Tracking for Ubiquitous Power IoT in Edge-Cloud Interplay Domain	107
Massive Wireless Energy Transfer: Enabling Sustainable IoT Toward 6G Era	107
Edge–Cloud Resource Scheduling in Space–Air–Ground-Integrated Networks for Internet of Vehicles	107
Secure Artificial Intelligence of Things for Implicit Group Recommendations	107
Collaborative Computation Offloading and Resource Allocation in Multi-UAV-Assisted IoT Networks: A Deep Reinforcement Learning Approach	107
Cooperative Wireless-Powered NOMA Relaying for B5G IoT Networks With Hardware Impairments and Channel Estimation Errors	106
A Cloud–MEC Collaborative Task Offloading Scheme With Service Orchestration	106
Hybrid Deep Learning for Botnet Attack Detection in the Internet-of-Things Networks	105
Intelligent Cooperative Edge Computing in Internet of Things	105
RepChain: A Reputation-Based Secure, Fast, and High Incentive Blockchain System via Sharding	105
Secure and Optimized Load Balancing for Multitier IoT and Edge-Cloud Computing Systems	105
RFID Reader Anticollision Based on Distributed Parallel Particle Swarm Optimization	105
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things	104
Energy-Efficient Multi-UAV-Enabled Multiaccess Edge Computing Incorporating NOMA	104
Blockchain-Based Cross-Domain Authentication for Intelligent 5G-Enabled Internet of Drones	104
Privacy-Preserving Federated Learning Framework Based on Chained Secure Multiparty Computing	103
Smart City IoT Services Creation Through Large-Scale Collaboration	103
Locational Detection of the False Data Injection Attack in a Smart Grid: A Multilabel Classification Approach	103

FDC: A Secure Federated Deep Learning Mechanism for Data Collaborations in the Internet of Things	103
Lightweight and Anonymity-Preserving User Authentication Scheme for IoT-Based Healthcare	103
Vcash: A Novel Reputation Framework for Identifying Denial of Traffic Service in Internet of Connected Vehicles	103
Smoothing Traffic Flow via Control of Autonomous Vehicles	102
An AUV-Assisted Data Gathering Scheme Based on Clustering and Matrix Completion for Smart Ocean	102
Multiagent Deep Reinforcement Learning for Vehicular Computation Offloading in IoT	101
A Flexible and Pervasive IoT-Based Healthcare Platform for Physiological and Environmental Parameters Monitoring	101
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics	101
Deep-Learning-Enabled Security Issues in the Internet of Things	101
A Privacy-Preserving Optimization of Neighborhood-Based Recommendation for Medical-Aided Diagnosis and Treatment	100
Toward Location-Enabled IoT (LE-IoT): IoT Positioning Techniques, Error Sources, and Error Mitigation	100
Latency-Aware IoT Service Provisioning in UAV-Aided Mobile-Edge Computing Networks	99
Cloud-Edge Orchestration for the Internet of Things: Architecture and AI-Powered Data Processing	99
Data Fusion Approach for Collaborative Anomaly Intrusion Detection in Blockchain-Based Systems	99
Edge-Computing-Based Trustworthy Data Collection Model in the Internet of Things	99
KEIDS: Kubernetes-Based Energy and Interference Driven Scheduler for Industrial IoT in Edge-Cloud Ecosystem	99
Trust-Oriented IoT Service Placement for Smart Cities in Edge Computing	99
Multiagent Deep Reinforcement Learning for Joint Multichannel Access and Task Offloading of Mobile-Edge Computing in Industry 4.0	98
A Survey on the Metaverse: The State-of-the-Art, Technologies, Applications, and Challenges	98
Robust Spammer Detection Using Collaborative Neural Network in Internet-of-Things Applications	97
Deep Reinforcement Learning for Partially Observable Data Poisoning Attack in Crowdsensing Systems	97
Blockchain for Edge of Things: Applications, Opportunities, and Challenges	97
Energy-Efficient Fog Computing for 6G-Enabled Massive IoT: Recent Trends and Future Opportunities	96
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework With UAV Swarms	96
A Machine-Learning-Based Technique for False Data Injection Attacks Detection in Industrial IoT	96
Blockchain-Based Edge Computing Resource Allocation in IoT: A Deep Reinforcement Learning Approach	96
BEdgeHealth: A Decentralized Architecture for Edge-Based IoMT Networks Using Blockchain	95
An Internet-of-Medical-Things-Enabled Edge Computing Framework for Tackling COVID-19	95
A Survey of Internet of Things (IoT) for Geohazard Prevention: Applications, Technologies, and Challenges	95
Deep-Reinforcement-Learning-Based QoS-Aware Secure Routing for SDN-IoT	94
Smart Contract-Based Blockchain-Envisioned Authentication Scheme for Smart Farming	94
Resource Allocation for Vehicular Fog Computing Using Reinforcement Learning Combined With Heuristic Information	94
Cascading Failures in Internet of Things: Review and Perspectives on Reliability and Resilience	93
A Novel Framework for Mobile-Edge Computing by Optimizing Task Offloading	93
Manufacturing Blockchain of Things for the Configuration of a Data- and Knowledge-Driven Digital Twin Manufacturing Cell	93
Blockchain-Envisioned UAV Communication Using 6G Networks: Open Issues, Use Cases, and Future Directions	92
WiFi Vision: Sensing, Recognition, and Detection With Commodity MIMO-OFDM WiFi	92
Toward Big Data Processing in IoT: Path Planning and Resource Management of UAV Base Stations in Mobile-Edge Computing System	91
Collaborative Data Scheduling for Vehicular Edge Computing via Deep Reinforcement Learning	91
Mobility Digital Twin: Concept, Architecture, Case Study, and Future Challenges	90
Dynamic Digital Twin and Distributed Incentives for Resource Allocation in Aerial-Assisted Internet of Vehicles	89
Deep Reinforcement Learning for Economic Dispatch of Virtual Power Plant in Internet of Energy	89
Deep-Reinforcement-Learning-Based Autonomous UAV Navigation With Sparse Rewards	89
A Smart-Contract-Based Access Control Framework for Cloud Smart Healthcare System	89
Sensor-Based Continuous Authentication of Smartphones’ Users Using Behavioral Biometrics: A Contemporary Survey	88
AUToSen: Deep-Learning-Based Implicit Continuous Authentication Using Smartphone Sensors	88
Behavioral Biometrics for Continuous Authentication in the Internet-of-Things Era: An Artificial Intelligence Perspective	88
Blockchain-Enabled Distributed Security Framework for Next-Generation IoT: An Edge Cloud and Software-Defined Network-Integrated Approach	88
User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled Internet of Things	88
Privacy-Preserving Transactive Energy Management for IoT-Aided Smart Homes via Blockchain	87
Industrial Security Solution for Virtual Reality	87
SWIPT Cooperative Spectrum Sharing for 6G-Enabled Cognitive IoT Network	87
Real-Time Mask Identification for COVID-19: An Edge-Computing-Based Deep Learning Framework	86
FESDA: Fog-Enabled Secure Data Aggregation in Smart Grid IoT Network	85
Toward Green Communication in 6G-Enabled Massive Internet of Things	84
Offloading Time Optimization via Markov Decision Process in Mobile-Edge Computing	83
A Numerical Splitting and Adaptive Privacy Budget-Allocation-Based LDP Mechanism for Privacy Preservation in Blockchain-Powered IoT	83
A Machine-Learning-Based Data-Centric Misbehavior Detection Model for Internet of Vehicles	82
Graph Neural Networks for Anomaly Detection in Industrial Internet of Things	82
BC-SABE: Blockchain-Aided Searchable Attribute-Based Encryption for Cloud-IoT	82
Intelligent Offloading for Collaborative Smart City Services in Edge Computing	82
Data Augmentation and Dense-LSTM for Human Activity Recognition Using WiFi Signal	82
Offloading Optimization in Edge Computing for Deep-Learning-Enabled Target Tracking by Internet of UAVs	82
Online VNF Lifecycle Management in an MEC-Enabled 5G IoT Architecture	82
The Internet of Things in the Oil and Gas Industry: A Systematic Review	82
Reinforcement Learning for IoT Security: A Comprehensive Survey	82
Device-Free Wireless Sensing for Human Detection: The Deep Learning Perspective	82
A Low-Profile Programmable Beam Scanning Holographic Array Antenna Without Phase Shifters	81
Machine Learning for the Detection and Identification of Internet of Things Devices: A Survey	81
UAV-Assisted Data Collection for Internet of Things: A Survey	81
Boosting-Based DDoS Detection in Internet of Things Systems	81
An Efficient Deep Learning Framework for Intelligent Energy Management in IoT Networks	81
GPU-Accelerated Compression and Visualization of Large-Scale Vessel Trajectories in Maritime IoT Industries	80
Resource Allocation and 3-D Placement for UAV-Enabled Energy-Efficient IoT Communications	80
Energy-Efficient Task Offloading and Resource Allocation via Deep Reinforcement Learning for Augmented Reality in Mobile Edge Networks	80
Toward Secure and Provable Authentication for Internet of Things: Realizing Industry 4.0	80
Dyme: Dynamic Microservice Scheduling in Edge Computing Enabled IoT	80
A Survey on Supply Chain Security: Application Areas, Security Threats, and Solution Architectures	79
Cloud–Edge-Based Lightweight Temporal Convolutional Networks for Remaining Useful Life Prediction in IIoT	79
DRL-Based Energy-Efficient Resource Allocation Frameworks for Uplink NOMA Systems	79
Security Challenges and Opportunities for Smart Contracts in Internet of Things: A Survey	79
Energy Consumption Minimization in UAV-Assisted Mobile-Edge Computing Systems: Joint Resource Allocation and Trajectory Design	79
Design, Resource Management, and Evaluation of Fog Computing Systems: A Survey	79
Deep-Learning-Based Pedestrian Inertial Navigation: Methods, Data Set, and On-Device Inference	79
Two-Stage Offloading Optimization for Energy–Latency Tradeoff With Mobile Edge Computing in Maritime Internet of Things	78
Intrusion Detection for Cyber–Physical Systems Using Generative Adversarial Networks in Fog Environment	78
Bitcoin and Blockchain: Security and Privacy	78
A Path Planning Method for Sweep Coverage With Multiple UAVs	78
CDDPG: A Deep-Reinforcement-Learning-Based Approach for Electric Vehicle Charging Control	78
Internet of Video Things: Next-Generation IoT With Visual Sensors	78
Secure Multifactor Authenticated Key Agreement Scheme for Industrial IoT	78
Stochastic Optimization-Aided Energy-Efficient Information Collection in Internet of Underwater Things Networks	78
Digital-Twin-Assisted Task Offloading Based on Edge Collaboration in the Digital Twin Edge Network	78
Joint DNN Partition Deployment and Resource Allocation for Delay-Sensitive Deep Learning Inference in IoT	78
AoI-Energy-Aware UAV-Assisted Data Collection for IoT Networks: A Deep Reinforcement Learning Method	77