An Efficient 2 hop Weight based Clustering Algorithm
ARIANE CAINE, Thomas Edward · 2016
Mobile Ad Hoc Networks (MANETs) allow mobile nodes to communicate without a need for a fixed infrastructure.Nodes within MANETs move about arbitrarily, dynamically changing their connectivity and possibly partitioning the network.In this paper, we consider weightbased clustering as a viable approach to alleviate these issues.However, many of the existing weight-based clustering algorithms suffer from a high re-clustering rate resulting in the production of relatively unstable clusters.Therefore, we propose a 2-hop weight-based clustering algorithm, RPMW in the view that it will minimize the re-clustering rate of the network and thus preserve its lifetime.RPMW takes into consideration the weight factors of PMW along with the node degree in calculating the weight of a node.We provide a comparative analysis of these two algorithms in which RMPW is shown to outperform PMW in cluster stability thus maximizing the lifespan of clusters.