Title :
An efficient node partition clustering protocol using Niching Particle Swarm Optimization
Author :
Dexin Ma ; Pengmin Xu ; Jian Ma
Author_Institution :
Commun. Coll., Qingdao Agric. Univ., Qingdao, China
Abstract :
Wireless Sensor Networks (WSNs) consist of many small battery powered nodes with limit energy supply, so energy efficient is a vital factor for WSNs. Clustering is one of the energy efficient techniques that extend the sensor network´s lifetime. In this paper, we present and analyze an Efficient Node Partition Clustering protocol using Niching Particle Swarm Optimization (ENPC-NPSO), a protocol that partitions the network field efficiently and the selection of cluster heads (CHs) considers the networks states information. The results of performance evaluation show that ENPC-NPSO can improve system lifetime and data delivery by distributing energy dissipation evenly in the networks.
Keywords :
particle swarm optimisation; protocols; telecommunication network reliability; wireless sensor networks; ENPC-NPSO; WSN; battery powered nodes; cluster heads; efficient node partition clustering protocol; energy dissipation; energy efficient technique; energy supply; niching particle swarm optimization; sensor network lifetime; wireless sensor network; Data models; efficient node partition clustering; niching particle swarm optimization; wireless sensor networks;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-4997-0
DOI :
10.1109/ICSESS.2013.6615389