Simulation on Clustered EH-WSNs

Simulation on energy management of an uneven clustered EH-WSNs by cooperative q-learning

Power management in wireless sensor networks (WSNs) is very important due to the limited energy of batteries. Sensor nodes with harvesters can extract energy from environmental sources as supplemental energy to break this limitation. In a clustered solar-powered sensor network where nodes in the network are grouped into clusters, data collected by cluster members are sent to their cluster head and finally transmitted to the base station. The goal of the whole network is to maintain an energy neutrality state and to maximize the effective data throughput of the network. The cooperative Q-learning is applied in this multi-agent environment the solar-powered wireless sensor networks to keep harvested energy more balanced among the whole clustered network.