A Validity Measure for Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
A cluster-based approach for routing in dynamic networks
ACM SIGCOMM Computer Communication Review
Wireless integrated network sensors
Communications of the ACM
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Cluster-Head Election Using Fuzzy Logic for Wireless Sensor Networks
CNSR '05 Proceedings of the 3rd Annual Communication Networks and Services Research Conference
International Journal of Sensor Networks
Wireless sensor network survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Aging analysis in large-scale wireless sensor networks
Ad Hoc Networks
A fuzzy-based virtual backbone routing for large-scale MANETs
International Journal of Sensor Networks
Minimizing effective energy consumption in multi-cluster sensor networks for source extraction
IEEE Transactions on Wireless Communications
Energy-efficient cluster head selection in clustering routing for wireless sensor networks
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks
IEEE Transactions on Mobile Computing
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IEEE Wireless Communications
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IEEE Transactions on Wireless Communications
Validity-guided (re)clustering with applications to image segmentation
IEEE Transactions on Fuzzy Systems
A possibilistic approach to clustering
IEEE Transactions on Fuzzy Systems
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Wireless sensor networks (WSNs) are resource constrained systems that needs efficient utilisation of all available resources. Clustering is well-known technique to achieve high scalability and efficient resource allocation in WSNs. This paper presents an approach to determine optimal number and location of cluster head. The Fuzzy c-Means (FCM) clustering algorithm that uses X-axis and Y-axis coordinates of spatially distributed sensor nodes to form clusters is used in study. A random deployment of 100 nodes in 100 × 100 m² area is considered here. The optimal number of cluster heads (CHs) so determined is also compared with those obtained by analytical method. The life time analysis in terms of first node dead is also presented in optimally clustered network.