Deer Optimization Technique based on Clustering and Routing for Lifetime Enhancement in Wireless Sensor Networks

Abstract

Clustering is implemented using a new technique that is based on the social behavior of deer.As is known deer are highly social and always travel in groups or herds.The herds are generally segregated into male herds and female herds.In the male herds, the leader continuously changes whereas in the female herds there is stability with the dominant female continuing for a longer time as a leader. Based on the above behavior,clusters are formed and these clusters are divided into two groups analogous to male and female herds.In the male group, the cluster head changes after every round of communication whereas in the female group cluster heads continue until their energy is not drained.This results in improving the lifetime of networks resulting in a long time of the communication as the nodes remain alive for a longer amount of time and clusters also continue for a longer period of time.In comparison with the existing techniques,this method based on Deer optimization gives better results in terms of lifetime,energy consumption, and the number of alive nodes. Also, energy consumption reduces substantially resulting in an optimal network.