WCA: A Weighted Clustering Algorithm for Mobile Ad Hoc Networks
Cluster Computing
WIMOB '06 Proceedings of the 2006 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
NLWCA Node and Link Weighted Clustering Algorithm for Backbone-Assisted Mobile Ad Hoc Networks
ICN '08 Proceedings of the Seventh International Conference on Networking
An Intelligent Weighted Clustering Algorithm(IWCA) for Ad Hoc
WCSE '09 Proceedings of the 2009 WRI World Congress on Software Engineering - Volume 03
SWCA: a secure weighted clustering algorithm in wireless ad hoc networks
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
A novel enhanced weighted clustering algorithm for mobile networks
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Survey of clustering algorithms
IEEE Transactions on Neural Networks
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Mobile ad hoc networks (MANETs) consist of a number of wireless hosts that forms network without a fixed infrastructure. Clustering plays a vital role for MANETs in managing the resources. Clustering involves two processes such as cluster head election and cluster maintenance. Since cluster head ensures the network performance, it is important to elect the desired cluster heads. In this paper, an enhanced weight-based clustering algorithm using a mobility prediction scheme (EWCAMP) for finding the desired cluster head is proposed. In the cluster maintaining phase the proposed algorithm defines the admission criteria for newly arriving nodes, which helps the nodes in joining the correct cluster. The goals of the proposed algorithm are reducing the number of clusters and re-affiliation of nodes. We have evaluated the performance of the proposed algorithm using network simulator (NS2). The simulation results demonstrate the superior performance of the proposed algorithm.