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A Novel Approach Towards Enhancing the Performance of Trust Based RPL Protocol in Internet of Things

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Intelligent Systems Design and Applications (ISDA 2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 940))

Abstract

Trust calculation in a Routing Protocol of Low Power and Lossy (RPL) is an interesting area to study due to its varying network parameters and features This work proposes an effective method of calculating the trust score for each node using valuation by the cluster head of the network. In addition to the trust calculated by the cluster head for each node the system also involves the node deciding which type of cluster to join based on its expected trust value and the credibility of the cluster to be joined. Thus the existing system functioning from the cluster point of view has been modified to accommodate and include the cluster and node credibility with provision for the node to choose a trusted network.

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Authors and Affiliations

  1. Department of Information Technology, SSN College of Engineering, Chennai, India

    Jayaram Hariharakrishnan & N. Bhalaji

Authors
  1. Jayaram Hariharakrishnan
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  2. N. Bhalaji
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Corresponding author

Correspondence to N. Bhalaji .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Aswani Kumar Cherukuri

  3. Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

  4. Machine Intelligence Research Labs, Auburn, WA, USA

    Niketa Gandhi

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Hariharakrishnan, J., Bhalaji, N. (2020). A Novel Approach Towards Enhancing the Performance of Trust Based RPL Protocol in Internet of Things. In: Abraham, A., Cherukuri, A.K., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 940. Springer, Cham. https://doi.org/10.1007/978-3-030-16657-1_76

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