Energy-efficient scheduling scheme using reinforcement learning in wireless ad hoc networks

In this paper we propose a scheduling scheme in wireless networks based on energy-efficient retransmission strategy. In our approach, the scheduling algorithm traits specially the neighboring nodes of source which get involved in the retransmission, in order to reduce the consumed energy. We use the Markov Decision Process frameworks to model this problem.