A Hierarchical Connected Dominating Set Based Clustering Algorithm for Mobile Ad Hoc Networks
MASCOTS '07 Proceedings of the 2007 15th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
Voting-Based Clustering Algorithm with Subjective Trust and Stability in Mobile Ad Hoc Networks
EUC '08 Proceedings of the 2008 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing - Volume 02
A Cluster Based Stable Multicast Routing Protocol in Ad Hoc Network
EUC '08 Proceedings of the 2008 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing - Volume 02
Self-Stabilizing Construction of Bounded Size Clusters
ISPA '08 Proceedings of the 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications
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
An energy balanced clustering algorithm for mobile ad hoc networks
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
A cluster-based trust-aware routing protocol for mobile ad hoc networks
Wireless Networks
PCSPA '10 Proceedings of the 2010 First International Conference on Pervasive Computing, Signal Processing and Applications
A New Distributed CDS Algorithm of Ad Hoc Network Based on Weight
ISDEA '10 Proceedings of the 2010 International Conference on Intelligent System Design and Engineering Application - Volume 01
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The present scenario has been conquered by the wireless network. It is well understood that the future will also be tied up by the same network. The ad hoc network plays a pivotal role in making communication among nodes dynamically. It can happen without any hurdle while the network expansion has been handled efficiently. On the part of handling this growth factor of network, clustering mechanism comes as a means to provide an efficient solution. The cluster formation has been restricted by various parameters. Thus, this paper work proposes W-PAC as an effective clustering mechanism based on multiple parameters and also suggests cluster maintenance strategy. The performance of proposed algorithm has been analyzed through simulation and results have been compared with the existing WCA algorithm.