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Reliability Enhancement of Mobile Edge Computing for the IoT with Multiple Damage Communication

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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1075))

Abstract

In order to overcome the scalability problem of the traditional Internet of Things (IoT), an approach to Mobile Edge Computing (MEC) for the IoT architecture (EdgeIoT) has been proposed. Providing a reliable transmission environment for an application built on EdgeIoT is a very important issue. Therefore, in this paper, the consensus problem is revised to design a reliable transmission network of EdgeIoT. The new proposed protocol can make all fault-free nodes reach consensus and tolerate the maximal number of allowable faulty components in the EdgeIoT.

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Acknowledgment

This work was supported in part by the Ministry of Science and Technology MOST 107-2221-E-324-005-MY3.

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Authors and Affiliations

  1. Chaoyang University of Technology, Taichung City, Taiwan, R.O.C.

    Shu-Ching Wang, Wei-Shu Hsiung & Chia-Fen Hsieh

Authors
  1. Shu-Ching Wang
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  2. Wei-Shu Hsiung
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  3. Chia-Fen Hsieh
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Corresponding author

Correspondence to Shu-Ching Wang .

Editor information

Editors and Affiliations

  1. The University of Aizu, Aizuwakamatsu, Japan

    Yong Liu

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

  3. Computer Science and Mathematics, University of Sao Paulo, Ribeirao Preto, Brazil

    Liang Zhao

  4. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

    Zhengtao Yu

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Wang, SC., Hsiung, WS., Hsieh, CF. (2020). Reliability Enhancement of Mobile Edge Computing for the IoT with Multiple Damage Communication. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1075. Springer, Cham. https://doi.org/10.1007/978-3-030-32591-6_89

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