Enhanced Passive Clustering Algorithm for Wireless Sensor Network
Abderrahim Maizate, Najib El kamoun
Journal of Networking Technology, Vol. 4, No. 1, 2013.
DOI: 
Link: http://www.dline.info/jnt/fulltext/v4n1/1.pdf
Abstract:
Wireless Sensor Networks (WSNs) is an emerging area belonging to the wireless technologies that has recently developed interest among the industry and academic researchers. It consists of small battery powered sensors, where failures of sensor nodes and disruption of connectivity are regular phenomena. Therefore, energy consumption and network lifetime are important issues. Clustering is one of the most efficient algorithms for selforganization. The most important point in this algorithm is cluster head selection because a good clustering guarantees stability, energy efficiency and load balancing in the network. In this paper we propose a new approach called EPC (Enhanced passive clustering algorithm), which evenly distributes the energy dissipation among the sensor nodes to maximize the network lifetime. This is achieved by using residual energy, number of neighbors and distance between nodes in the selection of nodes clusterheads and election of clusterhead backup. The simulation analysis of the EPC over the existing system shows the improvement in performance attained through the proposed passive clustering protocol. It reveals that the approach proposed algorithm improves significantly and particularly the network lifetime.