Flexible Weighted Clustering Algorithm Influenced By LFPQR

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Provided by: Department of Information Technology (DIT)
Topic: Big Data
Format: PDF
Clustering has been proven to be a promising approach for mimicking the operation of the fixed infrastructure and managing the resources in multi-hop networks. In order to achieve good performance, the formation and maintenance procedure of clusters should operate with minimum overhead, allowing mobile nodes to join and leave without perturbing the membership of the cluster and preserving current cluster structure as much as possible. In this paper, the authors propose a Flexible Weight Based Clustering Algorithm (FWCA) influenced by link failure prediction QoS routing protocol in mobile ad-hoc networks.
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