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

Probability Based Adaptive Invoked Clustering Algorithm in MANETs