WCA: A Weighted Clustering Algorithm for Mobile Ad Hoc Networks
Cluster Computing
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Ad Hoc Networking
A survey of clustering schemes for mobile ad hoc networks
IEEE Communications Surveys & Tutorials
Adaptive clustering for mobile wireless networks
IEEE Journal on Selected Areas in Communications
A mobility-based framework for adaptive clustering in wireless ad hoc networks
IEEE Journal on Selected Areas in Communications
Scalable routing protocols for mobile ad hoc networks
IEEE Network: The Magazine of Global Internetworking
International Journal of Sensor Networks
A survey of communication/networking in Smart Grids
Future Generation Computer Systems
An energy-efficient adaptive clustering algorithm with load balancing for wireless sensor network
International Journal of Sensor Networks
Adaptive dual cluster heads collaborative target tracking in wireless sensor networks
International Journal of Sensor Networks
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Clustering techniques have been proposed to construct hierarchies of nodes inside Mobile Ad Hoc Networks (MANETs) thereby increasing their scalability and manageability and reducing the amount of maintained routing information. Herein, we introduce a distributed clustering algorithm that uses both location and energy metrics for cluster formation. Our proposed solution addresses cluster stability, manageability and energy efficiency issues. Unlike existing active clustering methods, our algorithm relieves the network from the unnecessary burden of control messages broadcasting, especially for relatively static and quasi-static network topologies. The efficiency, scalability and competence of our algorithm against alternative approaches have been demonstrated through simulation results.