International Journal of Computer Network and Information Security (IJCNIS)
IJCNIS Vol. 10, No. 10, 8 Oct. 2018
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Component Importance Measures based Risk and Reliability Analysis of Vehicular Ad Hoc Networks
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Author(s)
Rakhi
1,*
G.L Pahuja
1
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
Abstract
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
Reference
[1]W. Kuo and X. Zhu, “Some Recent Advances on Importance Measures in Reliability,” in IEEE Transactions on Reliability, vol. 61, no. 2, pp. 344-360, June 2012.
[2]Kumar, N. and Chilamkurti, N., “Collaborative trust aware intelligent intrusion detection in VANETs.” Computers & Electrical Engineering, vol. 40, no.6, pp.1981-1996,2014.
[3]Whitman, M.G., Barker, K., Johansson, J. and Darayi, M., “Component importance for multi-commodity networks: Application in the Swedish railway” Computers & Industrial Engineering, vol.112, pp.274-288,2017
[4]Fang, S. and Wakabayashi, H., “Cost-benefit analysis for traffic network reliability improvement.” Procedia-Social and Behavioral Sciences, vol.54, pp.696-705, 2012.
[5]Rathore, M.M., Paul, A., Ahmad, A., Chilamkurthi, N., Hong, W.H. and Seo, H., “Real-time secure communication for Smart City in high-speed Big Data environment” Future Generation Computer Systems, vol.83, pp.638-652,2018.
[6]Kuo, W. and Zhu, X., “Relations and generalizations of importance measures in reliability.” IEEE Transactions on Reliability, vol.61, no.3, pp.659-674, 2012.
[7]Barker, K., Ramirez-Marquez, J.E. and Rocco, C.M., “Resilience-based network component importance measures.” Reliability Engineering & System Safety, vol.117, pp.89-97, 2013.
[8]W. Kuo and X. Zhu, Importance measures in reliability, risk, and optimization: principles and applications. John Wiley & Sons, 2012.
[9]Ramirez-Marquez, Jose Emmanuel, and David W. Coit. “Composite importance measures for multi-state systems with multi-state components.” IEEE Transactions on Reliability vol.54,no.3,pp.517-529,2005
[10]Z. W. Birnbaum, “On the importance of different components in a multicomponent system,’’ in Multivariate Analysis II, P. R. Krishnaian Ed. New York, NY, USA: Academic, 1969, pp. 581–592.
[11]Aven, T. and N?kland, T.E., “On the use of uncertainty importance measures in reliability and risk analysis” Reliability Engineering & System Safety, vol.95,no.2, pp.127-133,2010.
[12]Wang, Wendai, James Loman, and Pantelis Vassiliou. “Reliability importance of components in a complex system.” Reliability and Maintainability, 2004 Annual Symposium-RAMS. IEEE, 2004.
[13]Gao, Xueli, Lirong Cui, and Jinlin Li. “Analysis for joint importance of components in a coherent system.” European Journal of Operational Research vol.182, no. 1, pp.282-299, 2007.
[14]S. Wu, L. Chan, “Performance utility-analysis of multi-state systems”, IEEE Transactions on Reliability, vol. 52, no. 1, pp. 14-21, 2003.
[15]Contini, S. and Matuzas, V., “ New methods to determine the importance measures of initiating and enabling events in fault tree analysis”,Reliability Engineering & System Safety, vol.96,no.7, pp.775-784,2011.
[16]Dui, Hongyan, Shubin Si, and Richard CM Yam. “A cost-based integrated importance measure of system components for preventive maintenance”, Reliability Engineering & System Safety vol.168, pp.98-104, 2017.
[17]Dharmaraja, S., Vinayak, R. and Trivedi, K.S., “Reliability and survivability of vehicular ad hoc networks: An analytical approach”, Reliability Engineering & System Safety, vol.153, pp.28-38, 2016.
[18]X. Ma, X. Yin, K. Trivedi, “On the reliability of safety applications in VANETs”, Int. J. Perform. Eng., vol. 8, no. 2, pp. 115-130, May 2012.
[19]X. Ma, X. Yin, M. Wilson, K. Trivedi, “MAC and application-level broadcast reliability in VANETs with channel fading”, Proc. ICNC, pp. 756-761, Jan. 2013.
[20]N. Kumar, S. Misra, M. S. Obaidat, “Collaborative learning automata-based routing for rescue operations in dense urban regions using vehicular sensor networks”, IEEE Systems Journal, vol. 9, no. 3, pp. 1081-1090, Sep. 2015.
[21]N. Kumar, N. Chilamkurti, J. P. C. Rodrigues, “Learning automata-based opportunistic data aggregation and forwarding scheme for alert generation in vehicular ad hoc networks”, Computer Communications, vol. 39, no. 2, pp. 22-32, Feb. 2014.
[22]S. Dharmaraja, R. Vinayak, Xiaomin Ma and K. S. Trivedi, “Reliability and survivability of vehicular ad hoc networks”, 2012 International Symposium on Performance Evaluation of Computer & Telecommunication Systems (SPECTS), Genoa, , pp. 1-7,2012
[23]R.K. Rao Alla, Pahuja G.L, Lather J.S, “Risk Based Ranking Using Component Cost Importance Measure”, International Journal of Engineering and Manufacturing, vol.5, no.1, pp. 26-32, 2015.
[24]Rakhi and Pahuja, G.L. “A Reliable Solution to Load Balancing with Trust Based Authentication Enhanced by Virtual Machines”, International Journal of Information Technology and Computer Science,vol.9,pp. 64-71,2017.
[25]Tarun Kumar Sharma, Millie Pant, “Redundancy Level Optimization in Modular Software System Models using ABC”, International Journal of Intelligent Systems and Applications(IJISA), vol.6, no.4, pp.40-48, 2014.
[26]Shah, Vidhi R., Sejal V. Maru, and Rutvij H. Jhaveri. “An Obstacle Detection Scheme for Vehicles in an Intelligent Transportation System”, International Journal of Computer Network and Information Security, vol.10, pp.23-28, 2016.
[27]H. Hajian-Hoseinabadi, “Reliability and component importance analysis of substation automation systems,” International Journal of Electrical Power Energy Systems, vol. 49, pp 455-463, 2013.
[28]Akash Vaibhav, Dilendra Shukla, Sanjoy Das, Subrata Sahana, Prashant Johri, “Security Challenges, Authentication, Application and Trust Models for Vehicular Ad Hoc Network- A Survey”, International Journal of Wireless and Microwave Technologies(IJWMT), vol.7, no.3, pp.36-48, 2017.
[29]Ramneek Kaur, “RSUs Deployment Using Parallel Scheduling” International Journal of Computer Network and Information Security, vol. 5, pp.42-49, 2015.