Performance evaluation of LEACH on cluster head selection techniques in wireless sensor networks

Abstract

Toward the advances of wireless sensor technology have allowed users/administrators to simply and accurately monitor a characteristic and a behavior of remote environment including automatic event trigger. Due to the fact that the limitation of energy resource of sensor nodes, any events should be aware of this constrain, and so dividing the nodes to perform a particular task, or network clustering, is necessary to prolong the network system lifetime. Thus, in this paper, we evaluate the performance of a variety of LEACH optimization techniques, especially on the clustering criteria to select a proper set of cluster heads. Finally, to improve the probability of the selected nodes, we also propose the use of moving energy window average into an energy factor computation resulting into an improvement of the system energy usage. © 2013 Springer-Verlag.