A Hybrid Genetic Reinforcement Learning Technique for Intelligent Cluster Head Selection in WSNs
In Wireless Sensor Networks (WSNs), selection of Cluster Head (CH) in view of the optimum performance is a difficult task in view of constraints of energy resources, dynamic energy state of the network and dynamic data communication requirements, etc. Here, optimization of these can make better solutions. A Hybrid RL-G...