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

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dc.creatorBrust, Matthias R.
dc.creatorAndronache, Adrian
dc.creatorRothkugel, Steffen
dc.date2007-06-07
dc.date.accessioned2026-07-07T08:04:35Z
dc.date.available2026-07-07T08:04:35Z
dc.descriptionClustering 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 re-elections for stable clusters in mobile ad-hoc networks. The proposed localized algorithm deals with mobility, but does not require geographical, speed or distances information.
dc.descriptionThe Third International Conference on Wireless and Mobile Communications 2007
dc.identifierhttps://arxiv.org/abs/0706.1080
dc.identifierhttp://arxiv.org/abs/0706.1080
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/130015
dc.subjectDistributed, Parallel, and Cluster Computing
dc.subjectNetworking and Internet Architecture
dc.titleWACA: A Hierarchical Weighted Clustering Algorithm optimized for Mobile Hybrid Networks
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