Abstract
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Article Information:
Fuzzy Based Optimal Clustering Protocol for Maximizing Lifetime in WSN
S. Jothi and M. Chandrasekaran
Corresponding Author: S. Jothi
Submitted: January 31, 2014
Accepted: March 30, 2014
Published: August 15, 2014 |
Abstract:
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In Wireless Sensor Networks (WSN), the clustering protocol requires the nodes local information like energy level, distance between to BS and node density, link quality and load while estimating the cluster heads to handle network lifetime. In this study, we propose fuzzy based optimal clustering protocol for maximizing lifetime in WSN. Initially, several provisional cluster heads are elected in a random manner. The nodes other than provisional cluster heads involve in gathering the neighbor nodes local information such as residual energy, distance, node density and network load. The collected information is fuzzified using fuzzy logic technique and appropriate cluster head and size are estimated. Based on uninterrupted operational mechanism of each cluster head, the cluster heads are updated, thereby reducing the frequency of cluster head updation. By simulation results, we show that the proposed technique enhances the network lifetime.
Key words: Cluster head updation, clustering, fuzzy logic, network lifetime, residual energy, wireless sensor networks ,
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Abstract
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Cite this Reference:
S. Jothi and M. Chandrasekaran, . Fuzzy Based Optimal Clustering Protocol for Maximizing Lifetime in WSN. Research Journal of Applied Sciences, Engineering and Technology, (6): 714-725.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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