Abstract
Fuzzy logic has been successfully applied in various fields of daily life. Fuzzy logic is based on non-crisp set. The characteristic function of non-crisp set is permitted to have to range value between 0 and 1. In a cluster each node is definitely not only belong a cluster but also belong more than a cluster like as the non-crisp set. Therefore, classification cluster in wireless sensor network (WSN) is a complex problem. Fuzzy c-mean algorithm (FCM) is a highly suitable for classification cluster. The paper proposes for integration of Fuzzy Logic Controller and FCM to give a solution to improve the energy efficiency of WSN. Moreover, through the simulation results the lifetime of cluster is increased by more than 55%. The paper shows that the proposed approach has been confirmed that is the better choice of high energy efficiency for longer lifetime in cluster of WSN.
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Lam, QT., Horng, MF., Nguyen, TT., Lin, JN., Hsu, JP. (2013). A High Energy Efficiency Approach Based on Fuzzy Clustering Topology for Long Lifetime in Wireless Sensor Networks. In: Nguyen, N., Trawiński, B., Katarzyniak, R., Jo, GS. (eds) Advanced Methods for Computational Collective Intelligence. Studies in Computational Intelligence, vol 457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34300-1_35
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DOI: https://doi.org/10.1007/978-3-642-34300-1_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34299-8
Online ISBN: 978-3-642-34300-1
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