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Timely reliability modeling and evaluation of wireless sensor networks with adaptive N-policy sleep scheduling

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  • Zhang, Changzhen
  • Yang, Jun
  • Wang, Ning

Abstract

As an energy-efficient strategy, node sleep scheduling has become a hot topic of the energy conservation in wireless sensor networks (WSNs). Among these strategies, the N-policy sleep scheduling considers the energy consumption of node switching, thus effectively reducing the total energy consumption. However, node sleep will also increase the transmission packet delay, which cannot meet the timely reliability requirements of the network. To deal with this problem, we propose an adaptive N-policy sleep scheduling for sensor nodes. Next, in order to analyze the energy consumption and the packet delay under the proposed sleep scheduling, we establish the N-policy M/M/1/C queueing model with waiting time for heterogeneous sensor nodes, then derive the steady-state probability and obtain the performance metrics. Based on this, we establish the energy consumption model of sensor nodes and the delay model of packets. Besides, we propose a timely reliability evaluation model for heterogeneous WSNs, and the timely reliability is estimated by using the Monte Carlo simulation method. Finally, numerical experiments and a real case are performed to demonstrate the proposed sleep scheduling outperforms the N-policy sleep scheduling on delay, energy, and timely reliability.

Suggested Citation

  • Zhang, Changzhen & Yang, Jun & Wang, Ning, 2023. "Timely reliability modeling and evaluation of wireless sensor networks with adaptive N-policy sleep scheduling," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
  • Handle: RePEc:eee:reensy:v:235:y:2023:i:c:s0951832023001850
    DOI: 10.1016/j.ress.2023.109270
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    References listed on IDEAS

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    1. Yu, Senlin & Liu, Zaiming & Wu, Jinbiao, 2016. "Equilibrium strategies of the unobservable M/M/1 queue with balking and delayed repairs," Applied Mathematics and Computation, Elsevier, vol. 290(C), pages 56-65.
    2. Chakraborty, Suparna & Goyal, N.K. & Mahapatra, S. & Soh, Sieteng, 2020. "A Monte-Carlo Markov chain approach for coverage-area reliability of mobile wireless sensor networks with multistate nodes," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    3. Cai Wen Zhang & Zhisheng Ye & Min Xie, 2017. "Monitoring the shape parameter of a Weibull renewal process," IISE Transactions, Taylor & Francis Journals, vol. 49(8), pages 800-813, August.
    4. Fu, Xiuwen & Yang, Yongsheng, 2021. "Analysis on invulnerability of wireless sensor networks based on cellular automata," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    5. 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).
    6. Xiang, Shihu & Yang, Jun, 2023. "A novel adaptive deployment method for the single-target tracking of mobile wireless sensor networks," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    7. Paul J. Burke, 1956. "The Output of a Queuing System," Operations Research, INFORMS, vol. 4(6), pages 699-704, December.
    8. Saeed, Umer & Jan, Sana Ullah & Lee, Young-Doo & Koo, Insoo, 2021. "Fault diagnosis based on extremely randomized trees in wireless sensor networks," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    9. 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.
    10. Renbin Liu & Attahiru Sule Alfa & Miaomiao Yu, 2019. "Analysis of an ND-policy Geo/G/1 queue and its application to wireless sensor networks," Operational Research, Springer, vol. 19(2), pages 449-477, June.
    11. Fu, Xiuwen & Yang, Yongsheng, 2020. "Modeling and analysis of cascading node-link failures in multi-sink wireless sensor networks," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    12. Kong, Yaonan & Ye, Zhisheng, 2017. "Goodness-of-fit tests in the multi-state Markov model," Reliability Engineering and System Safety, Elsevier, vol. 166(C), pages 16-24.
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