Awatef Ben Fradj Guiloufi, Salim El Khediri, Nejah Nasri and Abdennaceur Kachouri, National Engineering School of Sfax, Tunisia

Power consumption is an important metric tool in the context of the wireless sensor networks (WSNs). In this paper, we described a new Energy-Degree (EDD) Clustering Algorithm for the WSNs. A node with higher residual energy and higher degree is more likely elected as a clusterhead (CH). The intercluster and intracluster communications are realized on one hop. The principal goal of our algorithm is to optimize the energy power and energy load among all nodes. By comparing EDD clustering algorithm with LEACH algorithm, simulation results have showen its effectiveness in saving energy.

wireless sensor networks (WSNs), clustering, clusterhead, energy, LEACH.