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A High Energy Efficiency Approach Based on Fuzzy Clustering Topology for Long Lifetime in Wireless Sensor Networks

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Advanced Methods for Computational Collective Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 457))

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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Author information

Authors and Affiliations

  1. Department of Industrial Management, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan

    Quynh-Trang Lam

  2. Department of Electronics Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan

    Mong-Fong Horng & Trong-The Nguyen

  3. Advance Multimedia Internet, Inc., Tainan, Taiwan

    Jia-Nan Lin & Jang-Pong Hsu

Authors
  1. Quynh-Trang Lam
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  2. Mong-Fong Horng
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  3. Trong-The Nguyen
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  4. Jia-Nan Lin
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  5. Jang-Pong Hsu
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Editor information

Editors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Wyb. Wyspianskiego 27, Wroclaw, 50-370, Poland

    Ngoc Thanh Nguyen

  2. Institute of Informatics, Wroclaw University of Technology, Wyb. Wyspianskiego 27, Wroclaw, 50-370, Poland

    Bogdan Trawiński

  3. Institute of Informatics, Wroclaw University of Technology, Wyb. Wyspianskiego 27, Wroclaw, 50-370, Poland

    Radosław Katarzyniak

  4. , Dept. of Computer Science & Engineering, INHA University, #253 YongHyun-dong, Nam-Ku, Inchon, 402-751, Korea, Republic of (South Korea)

    Geun-Sik Jo

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© 2013 Springer-Verlag Berlin Heidelberg

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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

  • eBook Packages: EngineeringEngineering (R0)

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