Medium-Contention Based Energy-Efficient Distributed Clustering (MEDIC) for Wireless Sensor Networks

Authors:
Liang Zhao;Qilian Liang
Affiliations:
Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA;Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA
Venue:
International Journal of Distributed Sensor Networks
Year:
2007

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Abstract

In this paper, we utilize clustering to organize wireless sensors into an energy-efficient hierarchy. We propose a Medium-contention based Energy-efficient DIstributed Clustering (MEDIC) scheme, through which sensors self-organize themselves into energy-efficient clusters by bidding for cluster headship. This scheme is based on a new criterion that can be used by each sensor node to make a distributed decision on whether electing to be a cluster head or a non-head member, which is a fully distributed approach. Although MEDIC uses only local information, it achieves better performance in terms of effective lifetime and its Data/Energy Ratio is 25% higher than native LEACH (Low-Energy Adaptive Clustering Hierarchy), which relies on other routing algorithms to access global information. A complementary exponential data correlation model is also introduced to simulate different data aggregation effect.