WCA: A Weighted Clustering Algorithm for Mobile Ad Hoc Networks
Cluster Computing
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Sensing uncertainty reduction using low complexity actuation
Proceedings of the 3rd international symposium on Information processing in sensor networks
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
Dynamic coverage in ad-hoc sensor networks
Mobile Networks and Applications
An Energy-Efficient Voting-Based Clustering Algorithm for Sensor Networks
SNPD-SAWN '05 Proceedings of the Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks
Self-Organization Routing Protocol Supporting Mobile Nodes for Wireless Sensor Network
IMSCCS '06 Proceedings of the First International Multi-Symposiums on Computer and Computational Sciences - Volume 2 (IMSCCS'06) - Volume 02
Genetic algorithm simulated annealing based clustering strategy in MANET
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Improved Cluster Heads Selection Method in Wireless Sensor Networks
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Ubiquitous sensor networks traffic models for telemetry applications
NEW2AN'11/ruSMART'11 Proceedings of the 11th international conference and 4th international conference on Smart spaces and next generation wired/wireless networking
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In recent years, a new paradigm of sensor networks, mobile sensor networks (MSNs), are emerging. They inherit all the properties from static wireless sensor networks (WSNs) and meanwhile have their own uniqueness, node mobility. Cluster-based architecture in MSNs have the advantage of providing scalable and resource efficient solutions. Thus, finding an optimal way to generate clusters is an important topic in MSNs. In this paper, we present a predictionbased clustering algorithm for MSNs. Our proposed algorithm uses adequate criterion for cluster-head election in conjunction with heuristic predictors to generate steady and balanced clusters. The results ofthe simulation experiments clearly show the benefit of the proposed algorithm in terms of network life time.