Component Importance Measures based Risk and Reliability Analysis of Vehicular Ad Hoc Networks

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Rakhi 1,* G.L Pahuja 1

1. Electrical Engineering Department, National Institute of Technology, Kurukshetra, 136119, INDIA

* Corresponding author.


Received: 4 Jul. 2018 / Revised: 27 Jul. 2018 / Accepted: 14 Aug. 2018 / Published: 8 Oct. 2018

Index Terms

Vehicular Ad Hoc Network, Intelligent Transportation Systems, reliability, risk, Component Importance Measures, Reliability Block diagram, critical infrastructure systems, failure, maintenance, design improvement, system component prioritization


Recent year’s development in communication technologies have been able to deploy a whole new range of ad hoc networks of moving vehicles namely Vehicular Ad hoc Network (VANET). The key component of Intelligent Transportation Systems (ITS) is VANET only. The Vehicular communication systems is one of the critical complex infrastructure system of any nation. Thus, reliability i.e. having a low failure probability of such critical systems is the main concern of the academia and the industry. This paper primarily focuses on the reliability modelling of VANET. The main objective of the research is to address the issue of quantifying the importance of components in contributing to the reliability and maintenance of a VANET. Reliability Block diagrams (RBD)s have been modelled for the architecture of VANET. Out of various Component Importance Measures (CIM)s available in literature, Birnbaum measure, Improvement measure and Criticality Importance measures have been used to prioritize the system components. The research work is successful in identifying the most critical and the least critical component of the Vehicular Ad Hoc Network and thus provides a solution for the design improvement, maintenance and failure diagnosis.

Cite This Paper

Rakhi, G.L.Pahuja, "Component Importance Measures based Risk and Reliability Analysis of Vehicular Ad Hoc Networks", International Journal of Computer Network and Information Security(IJCNIS), Vol.10, No.10, pp.38-45, 2018. DOI:10.5815/ijcnis.2018.10.05


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