A stable clustering algorithm for mobile ad hoc networks based on attractor selection

Authors:
Gen Nishikawa;Fukuhito Ooshita;Hirotsugu Kakugawa;Toshimitsu Masuzawa
Affiliations:
Osaka University, Toyonaka, Osaka, Japan;Osaka University, Toyonaka, Osaka, Japan;Osaka University, Toyonaka, Osaka, Japan;Osaka University, Toyonaka, Osaka, Japan
Venue:
Proceedings of the 3rd International Conference on Bio-Inspired Models of Network, Information and Computing Sytems
Year:
2008

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Abstract

With the spread of wireless technology, mobile ad hoc networks is getting increased attention in recent years. In mobile ad hoc networks, network topologies dynamically change because of node mobility. Thus, it is important to design an algorithm that has strong stability against frequent topology changes. Attractor selection is one of the biologically inspired approaches that have strong stability against environmental changes. In this paper, we propose a stable clustering algorithm based on attractor selection for mobile ad hoc networks. Clustering is a fundamental problem for distributed systems and makes it easy to manage large scale networks. We show the effectiveness of our algorithm by simulations.