Grey Wolf Optimization for Effective Sink Placement in Wireless Sensor Networks

Abstract

Wireless sensor networks provide an emerging technology for developing time-sensitive applications. Resource handling is an important process for data communication. Topology control is a significant feature in the sensors for effectively handling the resources in an effective manner. Multiple sink placements are the effective solution for planning and controlling the topology. In this paper, Grey Wolf Optimization (GWO) is proposed for placing an optimal position of the multiple sinks. This algorithm is developed by using the hunting mechanism and leadership hierarchy of the grey wolf. Hop count and distance from nodes to sinks are considered to achieve energy efficiency in WSN. The simulation results provide superior results when compared to DPSO and BFA algorithms. The proposed methodology minimizes the delay and energy usage and also enhances the lifetime of the network.