Multicluster, mobile, multimedia radio network
Wireless Networks
Dominating Sets and Neighbor Elimination-Based Broadcasting Algorithms in Wireless Networks
IEEE Transactions on Parallel and Distributed Systems
Approximating minimum size weakly-connected dominating sets for clustering mobile ad hoc networks
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
Connectivity-Based k-Hop Clustering in Wireless Networks
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 7 - Volume 7
An Adaptive Multihop Clustering Scheme for Highly Mobile Ad Hoc Networks
ISADS '03 Proceedings of the The Sixth International Symposium on Autonomous Decentralized Systems (ISADS'03)
Distributed construction of connected dominating set in wireless ad hoc networks
Mobile Networks and Applications - Discrete algorithms and methods for mobile computing and communications
An Extended Localized Algorithm for Connected Dominating Set Formation in Ad Hoc Wireless Networks
IEEE Transactions on Parallel and Distributed Systems
An improved distributed algorithm for connected dominating sets in wireless ad hoc networks
ISPA'04 Proceedings of the Second international conference on Parallel and Distributed Processing and Applications
CASAN: Clustering algorithm for security in ad hoc networks
Computer Communications
REputation based Clustering Algorithm for security management in ad hoc networks with liars
International Journal of Information and Computer Security
A distributed backbone formation algorithm for mobile ad hoc networks
ISPA'06 Proceedings of the 4th international conference on Parallel and Distributed Processing and Applications
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We propose a new Connected Dominating Set (CDS) based algorithm for clustering in Mobile Ad hoc Networks (MANETs). Our algorithm is based on Wu and Li’s [14] algorithm, however we provide significant modifications by considering the degrees of the nodes during marking process and also provide further heuristics to determine the color of a node in the initial phase. We describe, analyze and measure performance of this new algorithm by simulation and show that it performs better than Wu and Li’s [14] algorithm especially in the case of dense networks.