A distributed clustering method for energy-efficient data gathering in sensor networks
Junpei Kamimura, Naoki Wakamiya, Masayuki Murata · International Journal of Wireless and Mobile Computing · 2006
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%.