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Evaluation of mobile ad hoc network reliability using propagation-based link reliability model

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  • Padmavathy, N.
  • Chaturvedi, Sanjay K.

Abstract

A wireless mobile ad hoc network (MANET) is a collection of solely independent nodes (that can move randomly around the area of deployment) making the topology highly dynamic; nodes communicate with each other by forming a single hop/multi-hop network and maintain connectivity in decentralized manner. MANET is modelled using geometric random graphs rather than random graphs because the link existence in MANET is a function of the geometric distance between the nodes and the transmission range of the nodes. Among many factors that contribute to the MANET reliability, the reliability of these networks also depends on the robustness of the link between the mobile nodes of the network. Recently, the reliability of such networks has been evaluated for imperfect nodes (transceivers) with binary model of communication links based on the transmission range of the mobile nodes and the distance between them. However, in reality, the probability of successful communication decreases as the signal strength deteriorates due to noise, fading or interference effects even up to the nodes' transmission range. Hence, in this paper, using a propagation-based link reliability model rather than a binary-model with nodes following a known failure distribution to evaluate the network reliability (2TRm, ATRmand AoTRm) of MANET through Monte Carlo Simulation is proposed. The method is illustrated with an application and some imperative results are also presented.

Suggested Citation

  • Padmavathy, N. & Chaturvedi, Sanjay K., 2013. "Evaluation of mobile ad hoc network reliability using propagation-based link reliability model," Reliability Engineering and System Safety, Elsevier, vol. 115(C), pages 1-9.
  • Handle: RePEc:eee:reensy:v:115:y:2013:i:c:p:1-9
    DOI: 10.1016/j.ress.2013.01.008
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    References listed on IDEAS

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    1. Ramirez-Marquez, José Emmanuel & Rocco, Claudio M., 2008. "All-terminal network reliability optimization via probabilistic solution discovery," Reliability Engineering and System Safety, Elsevier, vol. 93(11), pages 1689-1697.
    2. Chen, Binchao & Phillips, Aaron & Matis, Timothy I., 2012. "Two-terminal reliability of a mobile ad hoc network under the asymptotic spatial distribution of the random waypoint model," Reliability Engineering and System Safety, Elsevier, vol. 106(C), pages 72-79.
    3. Cook, Jason L. & Ramirez-Marquez, Jose Emmanuel, 2007. "Two-terminal reliability analyses for a mobile ad hoc wireless network," Reliability Engineering and System Safety, Elsevier, vol. 92(6), pages 821-829.
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    Citations

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    Cited by:

    1. Bistouni, Fathollah & Jahanshahi, Mohsen, 2017. "Remove and contraction: A novel method for calculating the reliability of Ethernet ring mesh networks," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 362-375.
    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. N. Padmavathy & Sanjay K. Chaturvedi, 2015. "Reliability evaluation of capacitated mobile ad hoc network using log-normal shadowing propagation model," International Journal of Reliability and Safety, Inderscience Enterprises Ltd, vol. 9(1), pages 70-89.
    4. Fathollah Bistouni & Mohsen Jahanshahi, 2016. "Reliability analysis of multilayer multistage interconnection networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 62(3), pages 529-551, July.
    5. Forghani-elahabad, Majid & Mahdavi-Amiri, Nezam, 2015. "An efficient algorithm for the multi-state two separate minimal paths reliability problem with budget constraint," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 472-481.
    6. Bistouni, Fathollah & Jahanshahi, Mohsen, 2015. "Evaluating failure rate of fault-tolerant multistage interconnection networks using Weibull life distribution," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 128-146.
    7. Xu, Bei & Liu, Tao & Bai, Guanghan & Tao, Junyong & Zhang, Yun-an & Fang, Yining, 2022. "A multistate network approach for reliability evaluation of unmanned swarms by considering information exchange capacity," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    8. Barranco, Manuel & Proenza, Julián & Almeida, Luís, 2015. "Quantitative characterization of the reliability of simplex buses and stars to compare their benefits in fieldbuses," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 163-175.
    9. Gaurav Khanna & S. K. Chaturvedi & Sieteng Soh, 2019. "Reliability evaluation of mobile ad hoc networks by considering link expiration time and border time," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(3), pages 399-415, June.
    10. Bistouni, Fathollah & Jahanshahi, Mohsen, 2014. "Analyzing the reliability of shuffle-exchange networks using reliability block diagrams," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 97-106.
    11. 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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