Reinforcement learning based flow and energy management in resource-constrained wireless networks
This paper aims at developing a learning-based framework for MAC sleep–listen–transmit
scheduling in wireless networks. The Reinforcement Learning-based paradigm is shown to …
scheduling in wireless networks. The Reinforcement Learning-based paradigm is shown to …
Multi-armed Bandit Learning for TDMA Transmission Slot Scheduling and Defragmentation for Improved Bandwidth Usage
This paper proposes a Time Division Multiple Access (TDMA) MAC slot allocation protocol
with efficient bandwidth usage in wireless sensor networks and Internet of Things (IoTs). The …
with efficient bandwidth usage in wireless sensor networks and Internet of Things (IoTs). The …