[ENW13] Probabilistic Energy Value for Clustering in Wireless Sensors Networks

Revue Internationale avec comité de lecture : Journal Wireless Sensor Networks, vol. 5(2), pp. 25-32, 2013

Mots clés: wireless networks, energy, clustering mechanism

Résumé: Wireless sensors networks consist of a number of sensors nodes connected through a wireless network that collect data to be treated locally or relayed to the sink node using multi-hop wireless transmission. Several solutions were proposed to minimize the amount of information flowing within the network. Clustering algorithms is one solution and mechanism that enables the creation of sensor’s clusters; each sensor is dominated by elected routers. In order to limit energy consumption, the clustering around the sensor is established: sensors linked to the router transmit relayed data thereafter outward. The number of messages sent and the transmission range are thus reduced. This article tackles this issue by unveiling proposed techniques in the same line of researches and proposing a clustering mechanism based on the amount of energy remaining in the sensors. The simulation results show that proposed method can achieve higher network lifetime by comparison to original LEACH.

Equipe: mim
Collaboration: CEDRIC , Sfax


@article {
title="{Probabilistic Energy Value for Clustering in Wireless Sensors Networks}",
author="S. El Khediri and N. Nasri and A. Wei",
journal="Wireless Sensor Networks",