OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Mobile Computing is 56. 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 2020-03-01 to 2024-03-01.)

Article	Citations
Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks	610
Delay-Aware Microservice Coordination in Mobile Edge Computing: A Reinforcement Learning Approach	213
An Application Placement Technique for Concurrent IoT Applications in Edge and Fog Computing Environments	203
Joint Communication, Computation, Caching, and Control in Big Data Multi-Access Edge Computing	180
Distributed Energy-Efficient Multi-UAV Navigation for Long-Term Communication Coverage by Deep Reinforcement Learning	160
Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing Systems	158
JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services	136
Optimized Content Caching and User Association for Edge Computing in Densely Deployed Heterogeneous Networks	129
Imitation Learning Enabled Task Scheduling for Online Vehicular Edge Computing	119
Enabling Strong Privacy Preservation and Accurate Task Allocation for Mobile Crowdsensing	116
Scheduling Algorithms for Minimizing Age of Information in Wireless Broadcast Networks with Random Arrivals	115
An Energy-Efficient Framework for Internet of Things Underlaying Heterogeneous Small Cell Networks	113
FedHome: Cloud-Edge Based Personalized Federated Learning for In-Home Health Monitoring	111
Partial Computation Offloading and Adaptive Task Scheduling for 5G-Enabled Vehicular Networks	110
Collaborative Service Placement for Edge Computing in Dense Small Cell Networks	108
Toward an Automated Auction Framework for Wireless Federated Learning Services Market	106
Edge-Enabled V2X Service Placement for Intelligent Transportation Systems	106
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments Using A3C Learning and Residual Recurrent Neural Networks	102
Learning-Aided Computation Offloading for Trusted Collaborative Mobile Edge Computing	101
HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing	97
Near-Optimal and Truthful Online Auction for Computation Offloading in Green Edge-Computing Systems	96
LeaD: Large-Scale Edge Cache Deployment Based on Spatio-Temporal WiFi Traffic Statistics	95
Optimal Application Deployment in Resource Constrained Distributed Edges	93
Blockchain-Enabled Intelligent Transportation Systems: A Distributed Crowdsensing Framework	93
Continuous Authentication Through Finger Gesture Interaction for Smart Homes Using WiFi	92

Software-Defined Cooperative Data Sharing in Edge Computing Assisted 5G-VANET	91
A High-Availability Data Collection Scheme based on Multi-AUVs for Underwater Sensor Networks	91
Computation Offloading in Multi-Access Edge Computing: A Multi-Task Learning Approach	89
Multi-Objective Computation Sharing in Energy and Delay Constrained Mobile Edge Computing Environments	87
An Indirect Eavesdropping Attack of Keystrokes on Touch Screen through Acoustic Sensing	82
Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-Assisted Mobile Edge Computing	82
Furion: Engineering High-Quality Immersive Virtual Reality on Today's Mobile Devices	81
A Machine Learning Approach to 5G Infrastructure Market Optimization	79
TCDA: Truthful Combinatorial Double Auctions for Mobile Edge Computing in Industrial Internet of Things	78
QoE-Aware Efficient Content Distribution Scheme For Satellite-Terrestrial Networks	77
Delay-Aware Virtual Network Function Placement and Routing in Edge Clouds	77
Privacy Risk Analysis and Mitigation of Analytics Libraries in the Android Ecosystem	76
Exploiting Multi-Dimensional Task Diversity in Distributed Auctions for Mobile Crowdsensing	76
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization	76
SMARS: Sleep Monitoring via Ambient Radio Signals	76
PACE: Privacy-Preserving and Quality-Aware Incentive Mechanism for Mobile Crowdsensing	73
Autonomous UAV Trajectory for Localizing Ground Objects: A Reinforcement Learning Approach	72
Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning	70
Accurate Localization of Tagged Objects Using Mobile RFID-Augmented Robots	69
Joint Task Offloading and Resource Allocation for Energy-Constrained Mobile Edge Computing	67
Incentive Mechanism for Multiple Cooperative Tasks with Compatible Users in Mobile Crowd Sensing via Online Communities	64
Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks	63
Minimizing the Age of Information in Wireless Networks with Stochastic Arrivals	61
Data Offloading in UAV-Assisted Multi-Access Edge Computing Systems Under Resource Uncertainty	61
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training With Non-IID Private Data	60
Reinforcement Learning-Based Collision Avoidance and Optimal Trajectory Planning in UAV Communication Networks	60
To What Extent We Repeat Ourselves? Discovering Daily Activity Patterns Across Mobile App Usage	59
Leveraging UAVs for Coverage in Cell-Free Vehicular Networks: A Deep Reinforcement Learning Approach	59
Dynamic Computation Offloading and Server Deployment for UAV-Enabled Multi-Access Edge Computing	59
Reliability-Optimal Cooperative Communication and Computing in Connected Vehicle Systems	59
Multi-Task Allocation Under Time Constraints in Mobile Crowdsensing	58
ELITE: An Intelligent Digital Twin-based Hierarchical Routing Scheme for Softwarized Vehicular Networks	56
PROTECT: Efficient Password-Based Threshold Single-Sign-On Authentication for Mobile Users against Perpetual Leakage	56