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Fuzzy-Based Trust Prediction Model for Routing in WSNs

The cooperative nature of multihop wireless sensor networks (WSNs) makes it vulnerable to varied types of attacks. The sensitive application environments and resource constraints of WSNs mandate the requirement of lightweight security scheme. The earlier security solutions were based on historical b...

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Detalles Bibliográficos
Autores principales: Anita, X., Bhagyaveni, M. A., Manickam, J. Martin Leo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4123507/
https://www.ncbi.nlm.nih.gov/pubmed/25133236
http://dx.doi.org/10.1155/2014/480202
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author Anita, X.
Bhagyaveni, M. A.
Manickam, J. Martin Leo
author_facet Anita, X.
Bhagyaveni, M. A.
Manickam, J. Martin Leo
author_sort Anita, X.
collection PubMed
description The cooperative nature of multihop wireless sensor networks (WSNs) makes it vulnerable to varied types of attacks. The sensitive application environments and resource constraints of WSNs mandate the requirement of lightweight security scheme. The earlier security solutions were based on historical behavior of neighbor but the security can be enhanced by predicting the future behavior of the nodes in the network. In this paper, we proposed a fuzzy-based trust prediction model for routing (FTPR) in WSNs with minimal overhead in regard to memory and energy consumption. FTPR incorporates a trust prediction model that predicts the future behavior of the neighbor based on the historical behavior, fluctuations in trust value over a period of time, and recommendation inconsistency. In order to reduce the control overhead, FTPR received recommendations from a subset of neighbors who had maximum number of interactions with the requestor. Theoretical analysis and simulation results of FTPR protocol demonstrate higher packet delivery ratio, higher network lifetime, lower end-to-end delay, and lower memory and energy consumption than the traditional and existing trust-based routing schemes.
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spelling pubmed-41235072014-08-17 Fuzzy-Based Trust Prediction Model for Routing in WSNs Anita, X. Bhagyaveni, M. A. Manickam, J. Martin Leo ScientificWorldJournal Research Article The cooperative nature of multihop wireless sensor networks (WSNs) makes it vulnerable to varied types of attacks. The sensitive application environments and resource constraints of WSNs mandate the requirement of lightweight security scheme. The earlier security solutions were based on historical behavior of neighbor but the security can be enhanced by predicting the future behavior of the nodes in the network. In this paper, we proposed a fuzzy-based trust prediction model for routing (FTPR) in WSNs with minimal overhead in regard to memory and energy consumption. FTPR incorporates a trust prediction model that predicts the future behavior of the neighbor based on the historical behavior, fluctuations in trust value over a period of time, and recommendation inconsistency. In order to reduce the control overhead, FTPR received recommendations from a subset of neighbors who had maximum number of interactions with the requestor. Theoretical analysis and simulation results of FTPR protocol demonstrate higher packet delivery ratio, higher network lifetime, lower end-to-end delay, and lower memory and energy consumption than the traditional and existing trust-based routing schemes. Hindawi Publishing Corporation 2014 2014-07-14 /pmc/articles/PMC4123507/ /pubmed/25133236 http://dx.doi.org/10.1155/2014/480202 Text en Copyright © 2014 X. Anita et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Anita, X.
Bhagyaveni, M. A.
Manickam, J. Martin Leo
Fuzzy-Based Trust Prediction Model for Routing in WSNs
title Fuzzy-Based Trust Prediction Model for Routing in WSNs
title_full Fuzzy-Based Trust Prediction Model for Routing in WSNs
title_fullStr Fuzzy-Based Trust Prediction Model for Routing in WSNs
title_full_unstemmed Fuzzy-Based Trust Prediction Model for Routing in WSNs
title_short Fuzzy-Based Trust Prediction Model for Routing in WSNs
title_sort fuzzy-based trust prediction model for routing in wsns
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4123507/
https://www.ncbi.nlm.nih.gov/pubmed/25133236
http://dx.doi.org/10.1155/2014/480202
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