Negotiation-based protocols for disseminating information in wireless sensor networks
Wireless Networks - Selected Papers from Mobicom'99
A solution of multi-target tracking based on FCM Algorithm in WSN
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Node clustering in wireless sensor networks: recent developments and deployment challenges
IEEE Network: The Magazine of Global Internetworking
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In wireless sensor network applications, effective clustering algorithm can reduce energy consumption, which can increase network scalability and lifetime. In most of traditional clustering methods, clusters do not form until their cluster heads are selected and these algorithms are usually running under the single data transmission mode. A clustering strategy for WSNs based on Fuzzy Cluster Mean (FCM) is proposed in this paper. It is a new clustering mechanism of generating the clusters first and then selecting the cluster head(CH). This strategy based on FCM has good characteristics of clustering quick, reducing energy consumption and being applied in different data transmission modes. The correctness and feasibility is validated in simulations. It is shown that energy consumption is better than the similar clustering algorithms. When different selection modes of CH are selected in this strategy, the clustering strategy based on FCM shows the best efficiency in two data transmission modes.