Energy Optimization in Wireless Sensor Network based on Magneto Tactic Bacteria Optimization Algorithm

Recent years has witnessed a great development in the application of Wireless Sensor Networks in various sectors. In spite of the numerous advantages exhibited by Wireless Sensor Networks, there are limitations due to the low processing power and limited lifetime. The major challenge is related to the energy expended by sensor nodes. Therefore, energy optimization is a key challenge in this area. In this paper, the Magnetotactic Bacteria Algorithm is used to regulate the cell moment and thereby keep the energy consumption at a minimum in the wireless sensor networks. Experimental results show that such an optimization applied to the routing algorithm results in the better performance when compared with other techniques.