Correlated Node Behavior Model based on Semi Markov Process for MANETS

This paper introduces a new model for node behavior namely Correlated Node Behavior Model which is an extension of Node Behavior Model. The model adopts semi Markov process in continuous time which clusters the node that has correlation. The key parameter of the process is determined by five probabi...

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Main Authors: Rabiah, Ahmad, Zul Azri, Muhamad Noh, Abd. Samad, Hasan Basari, Burairah, Hussin
Format: Article
Language:English
Published: IJCSI 2012
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/3166/
http://eprints.utem.edu.my/id/eprint/3166/1/IJCSI-9-1-1-50-59.pdf
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author Rabiah, Ahmad
Zul Azri, Muhamad Noh
Abd. Samad, Hasan Basari
Burairah, Hussin
author_facet Rabiah, Ahmad
Zul Azri, Muhamad Noh
Abd. Samad, Hasan Basari
Burairah, Hussin
author_sort Rabiah, Ahmad
building UTeM Institutional Repository
collection Online Access
description This paper introduces a new model for node behavior namely Correlated Node Behavior Model which is an extension of Node Behavior Model. The model adopts semi Markov process in continuous time which clusters the node that has correlation. The key parameter of the process is determined by five probabilistic parameters based on the Markovian model. Computed from the transition probabilities of the semi-Markov process, the node correlation impact on network survivability and resilience can be measure quantitatively. From the result, the quantitative analysis of correlated node behavior on the survivability is obtained through mathematical description, and the effectiveness and rationality of the proposed model are verified through numerical analysis. The analytical results show that the effect from correlated failure nodes on network survivability is much severer than other misbehaviors.
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spelling utem-31662021-09-30T05:08:46Z http://eprints.utem.edu.my/id/eprint/3166/ Correlated Node Behavior Model based on Semi Markov Process for MANETS Rabiah, Ahmad Zul Azri, Muhamad Noh Abd. Samad, Hasan Basari Burairah, Hussin Q Science (General) This paper introduces a new model for node behavior namely Correlated Node Behavior Model which is an extension of Node Behavior Model. The model adopts semi Markov process in continuous time which clusters the node that has correlation. The key parameter of the process is determined by five probabilistic parameters based on the Markovian model. Computed from the transition probabilities of the semi-Markov process, the node correlation impact on network survivability and resilience can be measure quantitatively. From the result, the quantitative analysis of correlated node behavior on the survivability is obtained through mathematical description, and the effectiveness and rationality of the proposed model are verified through numerical analysis. The analytical results show that the effect from correlated failure nodes on network survivability is much severer than other misbehaviors. IJCSI 2012-01 Article PeerReviewed application/pdf en cc_by http://eprints.utem.edu.my/id/eprint/3166/1/IJCSI-9-1-1-50-59.pdf Rabiah, Ahmad and Zul Azri, Muhamad Noh and Abd. Samad, Hasan Basari and Burairah, Hussin (2012) Correlated Node Behavior Model based on Semi Markov Process for MANETS. International Journal of Computer Science Issues , 9 (1). pp. 50-59. ISSN 1694-0814 http://ijcsi.org/papers/IJCSI-9-1-1-50-59.pdf
spellingShingle Q Science (General)
Rabiah, Ahmad
Zul Azri, Muhamad Noh
Abd. Samad, Hasan Basari
Burairah, Hussin
Correlated Node Behavior Model based on Semi Markov Process for MANETS
title Correlated Node Behavior Model based on Semi Markov Process for MANETS
title_full Correlated Node Behavior Model based on Semi Markov Process for MANETS
title_fullStr Correlated Node Behavior Model based on Semi Markov Process for MANETS
title_full_unstemmed Correlated Node Behavior Model based on Semi Markov Process for MANETS
title_short Correlated Node Behavior Model based on Semi Markov Process for MANETS
title_sort correlated node behavior model based on semi markov process for manets
topic Q Science (General)
url http://eprints.utem.edu.my/id/eprint/3166/
http://eprints.utem.edu.my/id/eprint/3166/
http://eprints.utem.edu.my/id/eprint/3166/1/IJCSI-9-1-1-50-59.pdf