A tailored Q- Learning for routing in wireless sensor networks

Wireless sensor networks (WSNs) have major importance in distributed sensing applications. The important concern in the intend of wireless sensor networks is battery consumption which usually rely on non-renewable sources of energy. In this paper we have proposed a tailored Q-Learning algorithm for routing scheme in wireless sensor network. Our primary goal is to make an efficient routing algorithm with help of modified Q-Learning approach to minimize the energy consumption utilized by sensor nodes. This approach is a modified version of existing Q-Learning method for WSN that leads to the convergence problem.