Open AccessEnergy-distance & degree: multi-objective based optimized clustering and route discovery in wireless sensor network
Author(s) -
N. Mahendran,
T. Mekala
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/872/1/012009
Subject(s) - wireless sensor network , cluster analysis , computer science , computer network , particle swarm optimization , routing protocol , sink (geography) , node (physics) , path (computing) , cluster (spacecraft) , data aggregator , path length , shortest path problem , distributed computing , routing (electronic design automation) , algorithm , engineering , graph , geography , artificial intelligence , theoretical computer science , cartography , structural engineering
Network lifetime ( N L ) and energy preserving of sensor node is the most vital problem in the deployment of wireless sensor networks ( WSN s ). An approach of cluster based path establishment shows the way in which cluster heads ( CH s ) collect the information with each other and transfers into the sink ( n S ) via multi-hop routing. In this paper, we present path establishment and CH s selection through Energy-Distance and Degree (EDD) based clustering (EDDCH) and route discovery (EDDRD). The networks divided into multiple groups and each CH s support to each other for data forwarding also the smaller sized clusters closest to the n S 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 ( R E ) and network lifetime ( N L ).