Multi-Agent Deep Reinforcement Learning-Based Task Scheduling and Resource Sharing for O-RAN-Empowered Multi-UAV-Assisted Wireless Sensor Networks.
Mesfin Leranso BetaloSupeng LengHayla Nahom AbishuFayaz Ali DharejoAbegaz Mohammed SeidAiman ErbadRizwan Ali NaqviLongyu ZhouMohsen GuizaniPublished in: IEEE Trans. Veh. Technol. (2024)
Keyphrases
- resource sharing
- reinforcement learning
- multi agent
- grid computing
- wireless sensor networks
- distributed computing
- energy aware
- load balancing
- resource allocation
- grid systems
- peer to peer
- sensor networks
- resource management
- routing algorithm
- virtual organization
- network resources
- cloud computing
- fault tolerance
- sensor nodes
- information sharing
- grid environment
- energy consumption
- computing resources
- multiagent systems
- routing protocol
- distributed systems
- scheduling algorithm
- management system
- conceptual framework
- computing environments
- fault tolerant