Energy Efficient Clustering-Based Mobile Routing Algorithm on WSNs

In this paper, we propose and discuss two types of algorithms to improve energy efficiency in Wireless Sensor Networks. An efficient approach for extending the life a network is known as “sensor clustering” wireless sensor networks. proposed algorithms, study area where nodes are randomly distributed divided into clusters. each cluster, that closest cluster center has highest residual chosen head. To make choice, greedy artificial neural methods applied. addition, reduce consumption heads, mobile sink used. The list routes be used by calculated with genetic algorithm. According route information, moves clusters initiates data collection process cluster. We compared our models according round value at which all run out per round. Simulation results show increase extend lifespan.