AA
Publications
- Efficient Distributed Edge Computing for Dependent Delay-Sensitive Tasks in Multi-Operator Multi-Access Networks
- Lagrange Coded Federated Learning (L-CoFL) Model for Internet of Vehicles
- Dynamic resource allocation with integrated reinforcement learning for a D2D-enabled LTE-A network with access to unlicensed bandt
- Learning-Based Mobile Edge Computing Resource Management to Support Public Blockchain Networks
- Optimization of ultrasound information imaging algorithm in cardiovascular disease based on image enhancement
- Differential Protection of Power Transformers based on RSLVQ-Gradient Approach Considering SFCL
- Throughput-Efficient Lagrange Coded Private Blockchain for Secured IoT Systems
- A Survey of Coded Distributed Computing
- Reputation-Based Coalition Formation for Secure Self-Organized and Scalable Sharding in IoT Blockchains with Mobile-Edge Computing
- QoS-Oriented Mode, Spectrum, and Power Allocation for D2D Communication Underlaying LTE-A Network
- Joint bandwidth and power allocation for LTE-based cognitive radio network based on buffer occupancy
- An Asymmetric Evolutionary Bayesian Coalition Formation Game for Distributed Resource Sharing in a Multi-Cell Device-to-Device Enabled Cellular Network
- Auction-and-Learning Based Lagrange Coded Computing Model for Privacy-Preserving, Secure, and Resilient Mobile Edge Computing
- Ultra-Reliable Low-Latency Slicing in Space-Air-Ground Multi-Access Edge Computing Networks for Next-Generation Internet of Things and Mobile Applications
- A Novel Forwarding and Caching Scheme for Information-Centric Software-Defined Networks
- An Autonomous Learning-Based Algorithm for Joint Channel and Power Level Selection by D2D Pairs in Heterogeneous Cellular Networks
- Distributed Dynamic Resource Management and Pricing in the IoT Systems with Blockchain-as-a-Service and UAV-Enabled Mobile Edge Computing
- User-Centric Blockchain for Industry 5.0 Applications
- Game Theory and Lyapunov Optimization for Cloud-Based Content Delivery Networks with Device-to-Device and UAV-Enabled Caching
- A Survey on Big IoT Data Indexing: Potential Solutions, Recent Advancements, and Open Issues
- A robust privacy preserving approach for electronic health records using multiple dataset with multiple sensitive attributes
- Combining contract theory and lyapunov optimization for content sharing with edge caching and device-to-device communications
- Dynamic Buffer Status-Based Control for LTE-A Network with Underlay D2D Communication
- Optimizing Age of Information and Security of the Next-Generation Internet of Everything Systems
- SAID: ECC-Based Secure Authentication and Incentive Distribution Mechanism for Blockchain-Enabled Data Sharing System
- Bayesian Reinforcement Learning-Based Coalition Formation for Distributed Resource Sharing by Device-to-Device Users in Heterogeneous Cellular Networks
- Hierarchical Game-Theoretic and Reinforcement Learning Framework for Computational Offloading in UAV-Enabled Mobile Edge Computing Networks with Multiple Service Providers
- Efficient Dynamic Distributed Resource Slicing in 6G Multi-Access Edge Computing Networks with Online ADMM and Message Passing Graph Neural Networks
- A comprehensive survey on coded distributed computing: Fundamentals, challenges, and networking applications
- Fast and Secure Computational Offloading with Lagrange Coded Mobile Edge Computing
- A Deep Learning-Based Privacy-Preserving Model for Smart Healthcare in Internet of Medical Things Using Fog Computing
- Multi-agent Q-learning for autonomous D2D communication
- Effective resource block allocation procedure for quality of service provisioning in a single-operator heterogeneous LTE-A network
- Throughput-Efficient Blockchain for Internet-of-Vehicles
- A formal adversarial perspective: Secure and efficient electronic health records collection scheme for multi-records datasets
- Secure Federated Learning Based on Coded Distributed Computing
- Optimal Contract Design for Joint User Association and Intercell Interference Mitigation in Heterogeneous LTE-A Networks with Asymmetric Information
- Fast and Secure Consortium Blockchains with Lightweight Block Verifiers
- K-nddp: An efficient anonymization model for social network data release
- Analytical Method for Ferroresonance Solutions in Series Compensated Power Systems due to GICs: A Graphical Approach
- Bayesian Reinforcement Learning and Bayesian Deep Learning for Blockchains with Mobile Edge Computing
- A Survey on Clustering Algorithms in Wireless Sensor Networks: Challenges, Research, and Trends
- Optimal Computational Offloading and Content Caching in Wireless Heterogeneous Mobile Edge Computing Systems With Hopfield Neural Networks
- Ubiquitous Vehicular Ad-Hoc Network Computing Using Deep Neural Network with IoT-Based Bat Agents for Traffic Management
- F-Classify: Fuzzy Rule Based Classification Method for Privacy Preservation of Multiple Sensitive Attributes
- An Enhanced Block Validation Framework With Efficient Consensus for Secure Consortium Blockchains
- AtomCI: A New System for the Atomic Cross-Chain Smart Contract Invocation Spanning Heterogeneous Blockchains
- Multi-Access Edge Computing for Real-Time Applications With Sporadic DAG Tasks – A Graphical Game Approach
- New Gas-Efficient Authenticated Range Query Schemes in Hybrid-Storage Blockchain
- Secure and Efficient Coded Multi-Access Edge Computing With Generalized Graph Neural Networks
- Traffic prediction based packet transmission priority technique in an infrastructure wireless network
- A predictive network resource allocation technique for cognitive wireless networks
- Delay aware resource allocation scheme for a cognitive LTE based radio network
- Performance of LTE network for VoIP users
- Dynamic resource allocation in a LTE/WLAN heterogeneous network
- Traffic characterization and service performance in FON network
- Joint power and bandwidth allocation in IEEE802.22 based cognitive LTE network
- Prediction based bandwidth allocation for cognitive LTE network
- Delay and loss due to uplink packet scheduling in LTE network
- Resource allocation for LTE-based cognitive radio network with queue stability and interference constraints
- Performance analysis of VoIP services on the LTE network
- A two-step resource allocation procedure for LTE-based cognitive radio network