Performance evaluation of fuzzy C mean and simulated annealing based clustering in WSN
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Date
2018-08
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G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand)
Abstract
Cluster based routing technique is most popular routing technique in Wireless Sensor Networks (WSNs). Due to varying need of WSN applications, efficient energy utilization in routing protocols is still a potential area of research. In this research work, focus is made on the optimization of clustering and to balance the load over the routes so that energy can be used effectively. The proposed work tried to overcome the problem of random distribution of clusters in LEACH. In this study, the optimization of clusters is made by using Fuzzy C Mean Clustering that gives uniformity in the cluster due to central tendency so that a uniform density can be seen in the participating clusters. To further distribute the load of transmitting data through a planned routing scheme Simulated Annealing is used. The performance of proposed work is evaluated on MATLAB by comparing it with some existing protocols.
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