Medium-Contention Based Energy-Efficient Distributed Clustering (MEDIC) for Wireless Sensor Networks
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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Oct 01, 2007
- Source ID
- 10.1080/15501320701260709
Entities
People
- Liang Zhao
- Qilian Liang
Organizations
- Office of Naval Research
- University of Texas at Arlington