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Autonomic Self-healing Approach to Eliminate Hardware Faults in Wireless Sensor Networks

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Book cover Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017 (AISI 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 639))

Abstract

Recently, Wireless Sensor Networks (WSNs) are gained great attentions due to its ability to serve effectively in different applications. However, sensor nodes have energy and computational challenges. Moreover, WSNs may be prone to software failure, unreliable wireless connections, malicious attacks, and hardware faults; that make the network performance degrade significantly during its lifespan. One of these well-known challenges that affect the network performance is the fault tolerance. Therefore, this paper reviews this problem and provides a self-healing methodology to avoid these faults. Moreover, the structure and challenges of wireless sensor networks and the main concepts of self-healing for fault management in WSN are discussed. The results of the proposed method are illustrated to evaluate the network performance and measure its ability to avoid the network failure.

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Author information

Authors and Affiliations

  1. Faculty of Computers and Information, Banha University, Banha, Egypt

    Walaa Elsayed

  2. Faculty of Computers and Information, Mansoura University, Mansoura, Egypt

    Mohamed Elhoseny & A. M. Riad

  3. Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  4. Scientific Research Group in Egypt (SRGE), Cairo, Egypt

    Mohamed Elhoseny & Aboul Ella Hassanien

Authors
  1. Walaa Elsayed
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  2. Mohamed Elhoseny
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  3. A. M. Riad
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  4. Aboul Ella Hassanien
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Corresponding author

Correspondence to Walaa Elsayed .

Editor information

Editors and Affiliations

  1. Faculty of Computers and Information, Information Technology Department, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Dubai International Academic City, The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

  3. Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt

    Tarek Gaber

  4. Ain Shams University, Cairo, Egypt

    Mohamed F. Tolba

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Elsayed, W., Elhoseny, M., Riad, A.M., Hassanien, A.E. (2018). Autonomic Self-healing Approach to Eliminate Hardware Faults in Wireless Sensor Networks. In: Hassanien, A., Shaalan, K., Gaber, T., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017. AISI 2017. Advances in Intelligent Systems and Computing, vol 639. Springer, Cham. https://doi.org/10.1007/978-3-319-64861-3_14

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  • DOI: https://doi.org/10.1007/978-3-319-64861-3_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64860-6

  • Online ISBN: 978-3-319-64861-3

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