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CORR
2007
Springer

WACA: A Hierarchical Weighted Clustering Algorithm optimized for Mobile Hybrid Networks

10 years 1 months ago
WACA: A Hierarchical Weighted Clustering Algorithm optimized for Mobile Hybrid Networks
—Clustering techniques create hierarchal network structures, called clusters, on an otherwise flat network. In a dynamic environment—in terms of node mobility as well as in terms of steadily changing device parameters—the clusterhead election process has to be re-invoked according to a suitable update policy. Cluster re-organization causes additional message exchanges and computational complexity and it execution has to be optimized. Our investigations focus on the problem of minimizing clusterhead re-elections by considering stability criteria. These criteria are based on topological characteristics as well as on device parameters. This paper presents a weighted clustering algorithm optimized to avoid needless clusterhead reelections for stable clusters in mobile ad-hoc networks. The proposed localized algorithm deals with mobility, but does not require geographical, speed or distances information. Keywords-clustering,, hybrid networks, network topology, wireless communication
Matthias R. Brust, Adrian Andronache, Steffen Roth
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2007
Where CORR
Authors Matthias R. Brust, Adrian Andronache, Steffen Rothkugel
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