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Probability Based Adaptive Invoked Clustering Algorithm in MANETs

2011/02/09 by S. Rohini, Rohini, S., K. Indumathi +1
Computer Science · #Cooperative Communication and Network Coding #Distributed #FOS: Computer and information sciences #Mobile Ad Hoc Networks #Parallel #Wireless Networks and Protocols #and Cluster Computing (cs.DC) #cs.DC

paper · pdf · doi:10.48550/arxiv.1102.1754

6 pages

arxiv created 2011/02/09 · openalex publication_date 2011/02/09 · arxiv updated 2011/02/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

A mobile ad hoc network (MANET), is a self-configuring network of mobile devices connected by wireless links. In order to achieve stable clusters, the cluster-heads maintaining the cluster should be stable with minimum overhead of cluster re-elections. In this paper we propose a Probability Based Adaptive Invoked Weighted Clustering Algorithm (PAIWCA) which can enhance the stability of the clusters by taking battery power of the nodes into considerations for the clustering formation and electing stable cluster-heads using cluster head probability of a node. In this simulation study a comparison was conducted to measure the performance of our algorithm with maximal weighted independent set (MWIS) in terms of the number of clusters formed, the connectivity of the network, dominant set updates,throughput of the overall network and packet delivery ratio. The result shows that our algorithm performs better than existing one and is also tunable to different kinds of network conditions.

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