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Clustering techniques create hierarchal network structures, called clusters,on an otherwise flat network. In a dynamic environment-in terms of nodemobility as well as in terms of steadily changing device parameters-theclusterhead election process has to be re-invoked according to a suitableupdate policy. Cluster re-organization causes additional message exchanges andcomputational complexity and it execution has to be optimized. Ourinvestigations focus on the problem of minimizing clusterhead re-elections byconsidering stability criteria. These criteria are based on topologicalcharacteristics as well as on device parameters. This paper presents a weightedclustering algorithm optimized to avoid needless clusterhead re-elections forstable clusters in mobile ad-hoc networks. The proposed localized algorithmdeals with mobility, but does not require geographical, speed or distancesinformation.

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