A distributed clustering method for energy-efficient data gathering in sensor networks. (19th February 2007)

• Record Type: Journal Article
• Authors: Kamimura, Junpei; Wakamiya, Naoki; Murata, Masayuki
• Is Part Of: International journal of wireless and mobile computing. Volume 1:Number 2(2006)
• Page Start: 113
• Page End: 120
• Publication Date: 2007-02-19
• Subjects: wireless sensor networks -- data gathering -- distributed clustering algorithms -- energy efficiency -- biological systems -- wireless networks -- data collection -- sensor data -- self-organisation -- colonial closure model -- ant colonies -- simulation -- network lifetime; Mobile computing -- Periodicals; Wireless communication systems -- Periodicals; 004.6
• Languages: English
• ISSNs: 1741-1084

Abstract

Since sensor nodes operate on batteries, energy-efficient mechanisms for gathering sensor data are indispensable in prolonging the lifetime of a sensor network as long as possible. In this paper, we propose a novel clustering method where energy-efficient clusters are organised in a distributed and self-organising way through local communication among sensor nodes. Our method is based on the idea of ANTCLUST, a clustering algorithm which applies the colonial closure model of ants. Through simulation experiments, we showed that our method could gather data from more than 80% of the sensor nodes, longer than other clustering methods by over 30%.