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arXiv · 1011.2953

A Distributed Clustering Algorithm for Dynamic Networks

Thibault Bernard·Alain Bui·Laurence Pilard·Devan Sohier
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Abstract

We propose an algorithm that builds and maintains clusters over a network subject to mobility. This algorithm is fully decentralized and makes all the different clusters grow concurrently. The algorithm uses circulating tokens that collect data and move according to a random walk traversal scheme. Their task consists in (i) creating a cluster with the nodes it discovers and (ii) managing the cluster expansion; all decisions affecting the cluster are taken only by a node that owns the token. The size of each cluster is maintained higher than $m$ nodes ($m$ is a parameter of the algorithm). The obtained clustering is locally optimal in the sense that, with only a local view of each clusters, it computes the largest possible number of clusters (\emph{ie} the sizes of the clusters are as close to $m$ as possible). This algorithm is designed as a decentralized control algorithm for large scale networks and is mobility-adaptive: after a series of topological changes, the algorithm converges to a clustering. This recomputation only affects nodes in clusters in which topological changes happened, and in adjacent clusters.

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Thibault Bernard, Alain Bui, Laurence Pilard, Devan Sohier. 2010-11-12. A Distributed Clustering Algorithm for Dynamic Networks. https://arxiv.org/abs/1011.2953

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