Correlated Node Behavior Model based on Semi Markov Process for MANETS

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

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	network resilience, survivability, node behavior model, traffic profiling, MANETS.
Subjects:	Q Science > Q Science (General)
Divisions:	Faculty of Information and Communication Technology > Department of System and Computer Communication
Depositing User:	Burairah Hussin
Date Deposited:	16 May 2012 06:52
Last Modified:	30 Sep 2021 05:08
URI:	http://eprints.utem.edu.my/id/eprint/3166
Statistic Details:	View Download Statistic

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