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Reliability and survivability of vehicular ad hoc networks: An analytical approach

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  • Dharmaraja, S.
  • Vinayak, Resham
  • Trivedi, Kishor S.

Abstract

Vehicular ad hoc network (VANET) is a technology that facilitates communication between vehicles by creating a ‘mobile Internet’. The system aims at ensuring road safety and achieving secured commutation. For this reason, reliability and survivability of the network become matters of prime concern. Reliability and survivability of the network is immensely dependent upon the hardware and channel availability. This paper, primarily focuses on the reliability and survivability of VANET as a function of reliable hardware and channel availability. The reliability of the vehicles and the road side equipment is investigated using reliability block diagrams. The survivability of the network, with respect to reliable hardware and channel availability is explored using Markov chains and Markov reward model. Considering that the communication between the vehicles may take place directly (i.e., vehicle-to-vehicle (V2V)) or through the road side equipment (i.e., vehicle-to-roadside (V2R)), the evaluation is ascertained for both V2V and V2R communications methodology, in terms of network reliability, connectivity and message lost due to unreliable hardware or channel availability. The technique of hierarchical modeling is adopted for the same. The results are also verified against simulation.

Suggested Citation

  • Dharmaraja, S. & Vinayak, Resham & Trivedi, Kishor S., 2016. "Reliability and survivability of vehicular ad hoc networks: An analytical approach," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 28-38.
    • Handle: RePEc:eee:reensy:v:153:y:2016:i:c:p:28-38
    DOI: 10.1016/j.ress.2016.04.004
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    References listed on IDEAS

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    1. Gupta, Vandana & Dharmaraja, S., 2011. "Semi-Markov modeling of dependability of VoIP network in the presence of resource degradation and security attacks," Reliability Engineering and System Safety, Elsevier, vol. 96(12), pages 1627-1636.
    2. Zhang, Cai Wen & Zhang, Tieling & Chen, Nan & Jin, Tongdan, 2013. "Reliability modeling and analysis for a novel design of modular converter system of wind turbines," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 86-94.
    3. Selvik, J.T. & Aven, T., 2011. "A framework for reliability and risk centered maintenance," Reliability Engineering and System Safety, Elsevier, vol. 96(2), pages 324-331.
    4. Kim, Youngsuk & Kang, Won-Hee, 2013. "Network reliability analysis of complex systems using a non-simulation-based method," Reliability Engineering and System Safety, Elsevier, vol. 110(C), pages 80-88.
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    Cited by:

    1. Tina Song, Wheyming & Lin, Peisyuan, 2018. "System reliability of stochastic networks with multiple reworks," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 258-268.
    2. Wang, Ning & Tian, Tian-zi & He, Jia-tao & Zhang, Chang-zhen & Yang, Jun, 2024. "Transmission reliability evaluation of wireless sensor networks considering channel capacity randomness and energy consumption failure," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    3. Anupam Gautam & S. Dharmaraja, 2023. "Reliability and survivability assessment of LTE-A architecture and networks," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 370-392, March.
    4. Geng, Sunyue & Liu, Sifeng & Fang, Zhigeng, 2021. "Resilient communication model for satellite networks using clustering technique," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    5. Xiang, Shihu & Yang, Jun, 2018. "Performance reliability evaluation for mobile ad hoc networks," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 32-39.

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