Energy-distance & degree: multi-objective based optimized clustering and route discovery in wireless sensor network

Abstract

Network lifetime (NL) and energy preserving of sensor node is the most vital problem in the deployment of wireless sensor networks (WSNs ). An approach of cluster based path establishment shows the way in which cluster heads (CHs ) collect the information with each other and transfers into the sink (nS ) via multi-hop routing. In this paper, we present path establishment and CHs selection through Energy-Distance and Degree (EDD) based clustering (EDDCH) and route discovery (EDDRD). The networks divided into multiple groups and each CHs support to each other for data forwarding also the smaller sized clusters closest to the nS and huge size clusters remote from the S increases the lifetime of the network. The simulation results compared with the existing route optimization named as Particle Swarm Optimization (PSO) in terms of residual energy (RE ) and network lifetime (NL ).