Energy Efficient Bioinspired Whale Optimization Algorithm for Wsn

In recent years, Wireless Sensor Network has become a wide area of research and has been recognized as extensive and general approach for emerging applications like real-time traffic monitoring, ecosystem and battlefield surveillance. Transmission of data in WSN causes energy depletion in the sensor nodes. In this paper the energy efficient method of sending data to the neighbouring node is done by the proposed Whale Optimization Algorithm (WOA). The efficiency of WOA is compared with the standard routing protocols and with Particle Swarm Optimization. The nearest neighbour is identified using the fitness function and the WOA considers the energy, throughput, lifetime and stability.