Hayla Nahom Abishu
Orcid: 0000-0002-3243-7579
According to our database1,
Hayla Nahom Abishu
authored at least 24 papers
between 2022 and 2025.
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Bibliography
2025
AI-Native Collaborative Content Sharing in Blockchain-Empowered UAV-Assisted D2D Networks.
IEEE Internet Things J., August, 2025
Multiagent DRL-Based Demand Response Optimization for IoT-Based Smart Home Energy Management Systems.
IEEE Internet Things J., July, 2025
Blockchain-Empowered Multi-Domain Resource Trading in TN-NTN 6G Networks: A Hierarchical Multi-Agent DRL Approach.
IEEE Trans. Consumer Electron., May, 2025
A Multi-Agent DRL-Based Framework for Optimal Resource Allocation and Twin Migration in the Multi-Tier Vehicular Metaverse.
CoRR, February, 2025
Dynamic Charging and Path Planning for UAV-Powered Rechargeable WSNs Using Multi-Agent Deep Reinforcement Learning.
IEEE Trans Autom. Sci. Eng., 2025
Multiagent DRL-Based Consensus Mechanism for Blockchain-Based Collaborative Computing in UAV-Assisted 6G Networks.
IEEE Internet Things J., 2025
2024
Multi-Agent DRL-Based Energy Harvesting for Freshness of Data in UAV-Assisted Wireless Sensor Networks.
IEEE Trans. Netw. Serv. Manag., December, 2024
ASMCC<sup>+</sup>: A Secure Authentication Scheme for Mobile Cloud Computing Environment Based on Zero Trust Architecture.
IEEE Trans. Consumer Electron., August, 2024
Multi-Agent Deep Reinforcement Learning-Based Task Scheduling and Resource Sharing for O-RAN-Empowered Multi-UAV-Assisted Wireless Sensor Networks.
IEEE Trans. Veh. Technol., July, 2024
IEEE Commun. Mag., July, 2024
Survey on Demand Response in the Landscape of Adaptive and Intelligent Building Energy Management Systems.
Proceedings of the International Wireless Communications and Mobile Computing, 2024
Multi-Agent DRL-based Multi-Objective Demand Response Optimization for Real-Time Energy Management in Smart Homes.
Proceedings of the International Wireless Communications and Mobile Computing, 2024
Optimizing Building Energy Management Leveraging Adaptive Edge Computing for Enhanced Efficiency and Occupant Well-Being.
Proceedings of the Ambient Intelligence - Software and Applications, 2024
Resource Allocation and QoE Maximization in Aerial MEC-empowered Metaverse Service: A CCM-Multi-agent DRL approach.
Proceedings of the 2024 IEEE Global Communications Conference, 2024
Proceedings of the Distributed Computing and Artificial Intelligence, 2024
2023
Blockchain-Empowered Resource Allocation in Multi-UAV-Enabled 5G-RAN: A Multi-Agent Deep Reinforcement Learning Approach.
IEEE Trans. Cogn. Commun. Netw., August, 2023
Blockchain-Based Resource Trading in Multi-UAV-Assisted Industrial IoT Networks: A Multi-Agent DRL Approach.
IEEE Trans. Netw. Serv. Manag., March, 2023
Multiagent Federated Reinforcement Learning for Resource Allocation in UAV-Enabled Internet of Medical Things Networks.
IEEE Internet Things J., 2023
HDFRL-empowered Energy Efficient Resource Allocation for Aerial MEC-enabled Smart City Cyber Physical System in 6G.
Proceedings of the International Wireless Communications and Mobile Computing, 2023
Proceedings of the IEEE Global Communications Conference, 2023
2022
Consensus Mechanism for Blockchain-Enabled Vehicle-to-Vehicle Energy Trading in the Internet of Electric Vehicles.
IEEE Trans. Veh. Technol., 2022
Blockchain-Enabled Task Offloading With Energy Harvesting in Multi-UAV-Assisted IoT Networks: A Multi-Agent DRL Approach.
IEEE J. Sel. Areas Commun., 2022
FDRL Approach for Association and Resource Allocation in Multi-UAV Air-To-Ground IoMT Network.
Proceedings of the IEEE Global Communications Conference, 2022