Opinion Based Trust Model for Delay Tolerant Networks using Fuzzy Logic

Authors

  • Santhana Lakshmi M  IT, Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, India
  • Hemaanand M  ECE, Amrita Vishwa Vidhyapeetam, Coimbatore, Tamil Nadu, India

DOI:

https://doi.org/10.32628/CSEIT217125

Keywords:

Delay Tolerant Networks, Trustworthiness, Fuzzy logic

Abstract

Delay Tolerant Network is designed for long distance communication where end-to-end connectivity is not established due to frequent disconnections or delay. Long latency is encountered in this type of network. This work proposes a reliable model for secure communication in DTN that aims to achieve correct estimation of trust value between the nodes and to minimize the relay rate i.e cost involved in the message transmission with minimum delay based on the history of ownership of information. In this model, we have used data driven approach so that the malicious or selfish nodes are prevented from consuming more resources in the resource constrained network environment. This approach checks the trustworthiness of the source of information. This work adopts computing based approach to evaluate the performance of the proposed model using fuzzy logic. We conduct two comparative analyses in which one compares the four variants of the proposed model to find the best variant of the proposed model and other compares our trust model with the other existing trust models to prove the efficiency of our model over other routing protocols.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-02-28

Issue

Volume 7, Issue 1, January-February-2021

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Research Articles

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How to Cite

[1]
Santhana Lakshmi M, Hemaanand M, " Opinion Based Trust Model for Delay Tolerant Networks using Fuzzy Logic " International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 1, pp.113-130, January-February-2021. Available at doi : https://doi.org/10.32628/CSEIT217125