OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Mobile Computing is 60. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks	723
Delay-Aware Microservice Coordination in Mobile Edge Computing: A Reinforcement Learning Approach	260
Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing Systems	237
An Application Placement Technique for Concurrent IoT Applications in Edge and Fog Computing Environments	229
FedHome: Cloud-Edge Based Personalized Federated Learning for In-Home Health Monitoring	169
An Energy-Efficient Framework for Internet of Things Underlaying Heterogeneous Small Cell Networks	166
JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services	164
Optimized Content Caching and User Association for Edge Computing in Densely Deployed Heterogeneous Networks	149
Toward an Automated Auction Framework for Wireless Federated Learning Services Market	141
Joint Task Offloading and Resource Allocation for Energy-Constrained Mobile Edge Computing	140
Imitation Learning Enabled Task Scheduling for Online Vehicular Edge Computing	139
Scheduling Algorithms for Minimizing Age of Information in Wireless Broadcast Networks with Random Arrivals	131
An Indirect Eavesdropping Attack of Keystrokes on Touch Screen through Acoustic Sensing	128
Collaborative Service Placement for Edge Computing in Dense Small Cell Networks	127
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization	126
Edge-Enabled V2X Service Placement for Intelligent Transportation Systems	125
Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-Assisted Mobile Edge Computing	123
Partial Computation Offloading and Adaptive Task Scheduling for 5G-Enabled Vehicular Networks	123
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments Using A3C Learning and Residual Recurrent Neural Networks	120
Learning-Aided Computation Offloading for Trusted Collaborative Mobile Edge Computing	118
Computation Offloading in Multi-Access Edge Computing: A Multi-Task Learning Approach	116
Optimal Application Deployment in Resource Constrained Distributed Edges	110
Multi-Objective Computation Sharing in Energy and Delay Constrained Mobile Edge Computing Environments	110
LeaD: Large-Scale Edge Cache Deployment Based on Spatio-Temporal WiFi Traffic Statistics	108
Continuous Authentication Through Finger Gesture Interaction for Smart Homes Using WiFi	108

Blockchain-Enabled Intelligent Transportation Systems: A Distributed Crowdsensing Framework	108
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training With Non-IID Private Data	104
Dynamic Computation Offloading and Server Deployment for UAV-Enabled Multi-Access Edge Computing	101
Software-Defined Cooperative Data Sharing in Edge Computing Assisted 5G-VANET	101
PACE: Privacy-Preserving and Quality-Aware Incentive Mechanism for Mobile Crowdsensing	95
Data Offloading in UAV-Assisted Multi-Access Edge Computing Systems Under Resource Uncertainty	94
Delay-Aware Virtual Network Function Placement and Routing in Edge Clouds	94
Autonomous UAV Trajectory for Localizing Ground Objects: A Reinforcement Learning Approach	91
QoE-Aware Efficient Content Distribution Scheme For Satellite-Terrestrial Networks	89
TCDA: Truthful Combinatorial Double Auctions for Mobile Edge Computing in Industrial Internet of Things	89
SMARS: Sleep Monitoring via Ambient Radio Signals	88
Exploiting Multi-Dimensional Task Diversity in Distributed Auctions for Mobile Crowdsensing	85
Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning	84
UAV-Assisted Task Offloading in Vehicular Edge Computing Networks	79
ColO-RAN: Developing Machine Learning-Based xApps for Open RAN Closed-Loop Control on Programmable Experimental Platforms	79
Dynamic UAV Deployment for Differentiated Services: A Multi-Agent Imitation Learning Based Approach	78
Accurate Localization of Tagged Objects Using Mobile RFID-Augmented Robots	76
Minimizing the Age of Information in Wireless Networks with Stochastic Arrivals	75
Leveraging UAVs for Coverage in Cell-Free Vehicular Networks: A Deep Reinforcement Learning Approach	75
Reinforcement Learning-Based Collision Avoidance and Optimal Trajectory Planning in UAV Communication Networks	74
Multi-Task Allocation Under Time Constraints in Mobile Crowdsensing	71
Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks	71
PROTECT: Efficient Password-Based Threshold Single-Sign-On Authentication for Mobile Users against Perpetual Leakage	71
To What Extent We Repeat Ourselves? Discovering Daily Activity Patterns Across Mobile App Usage	70
ELITE: An Intelligent Digital Twin-based Hierarchical Routing Scheme for Softwarized Vehicular Networks	67
A Fuzzy Logic-Based On-Demand Charging Algorithm for Wireless Rechargeable Sensor Networks With Multiple Chargers	66
Multi-Objective Parallel Task Offloading and Content Caching in D2D-aided MEC Networks	66
Adaptive Asynchronous Federated Learning in Resource-Constrained Edge Computing	66
Fog Computing Empowered Data Dissemination in Software Defined Heterogeneous VANETs	65
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control	64
Minimizing the Maximum Charging Delay of Multiple Mobile Chargers Under the Multi-Node Energy Charging Scheme	62
Optimizing Information Freshness in Wireless Networks: A Stochastic Geometry Approach	61
SARDO: An Automated Search-and-Rescue Drone-Based Solution for Victims Localization	60
Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Mobile Crowdsensing Systems	60
Joint Resource Allocation for Device-to-Device Communication Assisted Fog Computing	60