A distributed clustering method for energy-efficient data gathering in sensor networks

  • Authors:

  • Junpei Kamimura;Naoki Wakamiya;Masayuki Murata

  • Affiliations:

  • Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka 565-0871, Japan.;Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka 565-0871, Japan.;Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka 565-0871, Japan

  • Venue:
  • International Journal of Wireless and Mobile Computing
  • Year:
  • 2006

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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%.