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

Liang Zhao and Qilian Liang

International Journal of Distributed Sensor Networks, 2007, vol. 3, issue 4, 347-369

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.

Keywords: Wireless Sensor Networks; Energy-Aware Systems; Clustering; Distributed Applications (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:3:y:2007:i:4:p:347-369

DOI: 10.1080/15501320701260709

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