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Optimal Control by the Queue with Rate and Quality of Service Depending on the Amount of Harvested Energy as a Model of the Node of Wireless Sensor Network

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Distributed Computer and Communication Networks (DCCN 2019)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 11965))

Abstract

A queueing model with energy harvesting and multi-threshold control by service regimes is analysed. The available service regimes are characterized by the different service rate, requirements to the number of energy units for a request service and the probability of error occurrence during service. Error accounting is vital for adequate modelling wireless networks due to existence of an interference in a transmission thread. The increase of the number of energy units for service of a request implies an opportunity to send a stronger signal what implies the higher transmission rate and a lower probability of error occurrence during transmission. Error occurrence causes the repeated transmission and, therefore, consumption of more energy. Under the fixed parameters of the control strategy, the system dynamics is described by a continuous-time six-dimensional Markov chain. This allows to compute the steady-state distribution of the system states and, then, formulate and solve optimization problems. Numerical results are presented.

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References

  1. Kim, C., Dudin, S., Dudin, A., Samouylov, K.: Multi-threshold control by a single-server queuing model with a service rate depending on the amount of harvested energy. Perform. Eval. 127–128, 1–20 (2018)

    Google Scholar 

  2. Ashraf, N., Hasan, A., Qureshi, H., Lestas, M.: Combined data rate and energy management in harvesting enabled tactile IoT sensing devices. IEEE Trans. Ind. Inform. 15(5), 3006–3015 (2019)

    Article  Google Scholar 

  3. Bae, Y., Baek, J.: Optimal design of RF energy-harvesting network: throughput and delay perspective. Sensors 19(1), 1–20 (2019)

    Article  Google Scholar 

  4. Chunlin, L., Chen, W., Tang, J., Luo, Y.: Radio and computing resource allocation with energy harvesting devices in mobile edge computing environment. Comput. Commun. 145, 193–202 (2019)

    Article  Google Scholar 

  5. Di Lorenzo, P., Battiloro, C., Banelli, P., Barbarossa, S.: Dynamic resource optimization for decentralized signal estimation in energy harvesting wireless sensor networks. In ICASSP 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4454–4458 (2019)

    Google Scholar 

  6. El Shafie, A., Al-Dhahir, N., Ding, Z., Duong, T., Hamila, R.: Wiretap TDMA networks with energy-harvesting rechargeable-battery buffered sources. IEEE Access 7, 17215–17229 (2019)

    Article  Google Scholar 

  7. Guo, L., Chen, Z., Zhang, D., Liu, J., Pan, J.: Sustainability in body sensor networks with transmission scheduling and energy harvesting. IEEE Internet Things J. (2019). https://doi.org/10.1109/JIOT.2019.2930076

    Article  Google Scholar 

  8. Gelenbe, E., Zhang, Y.: Performance optimization with energy packets. IEEE Syst. J. (2019). https://doi.org/10.1109/JSYST.2019.2912013

    Article  Google Scholar 

  9. Knorn, S., Dey, S., Ahlen, A., Quevedo, D.: Optimal energy allocation in multi sensor estimation over wireless channels using energy harvesting and sharing. IEEE Trans. Autom. Control (2019). https://doi.org/10.1109/TAC.2019.2896048

    Article  MATH  Google Scholar 

  10. Patil, K., De Turck, K., Fiems, D.: Optimal data collection in wireless sensor networks with correlated energy harvesting. Ann. Telecommun. 74(5–6), 299–310 (2019)

    Article  Google Scholar 

  11. Zhang, Y.: Optimal energy distribution with energy packet networks. Probab. Eng. Inform. Sci. (2019). https://doi.org/10.1017/S0269964818000566

    Article  Google Scholar 

  12. Ray, P.: Energy packet networks: an annotated bibliography. SN Comput. Sci. 1, 6 (2020). https://doi.org/10.1007/s42979-019-0008-x

    Article  Google Scholar 

  13. Chakravarthy, S.: The batch Markovian arrival process: a review and future work. In: Krishnamoorthy, A., Raju, N., Ramaswami (eds.) Advances in Probability Theory and Stochastic Processes, pp. 21–29. Notable Publications Inc., New Jersey (2001)

    Google Scholar 

  14. Dudin, A., Dudin, S.: Analysis of a priority queue with phase-type service and failures. Int. J. Stochast. Anal. Article ID 9152701, 1–11 (2016)

    Article  MathSciNet  Google Scholar 

  15. Dudin, A.: Optimal multithreshold control for the \(BMAP/G/1\) queue with \(N\) service modes. Queueing Syst. 30, 41–55 (1998)

    Article  MathSciNet  Google Scholar 

  16. Kim, C., Klimenok, V., Birukov, A., Dudin, A.: Optimal multi-threshold control by the \(BMAP/SM/1\) retrial system. Ann. Oper. Res. 141(1), 193–210 (2006)

    Article  MathSciNet  Google Scholar 

  17. Klimenok, I., Dudin, A.: Multi-dimensional asymptotically quasi-Toeplitz Markov chains and their application in queueing theory. Queueing Syst. 54, 245–259 (2006)

    Article  MathSciNet  Google Scholar 

  18. Dudin, S., Dudina, O.: Retrial multi-server queueing system with PHF service time distribution as a model of a channel with unreliable transmission of information. Appl. Math. Modell. 65, 676–695 (2019)

    Article  Google Scholar 

  19. Kim, C.S., Dudin, A., Dudin, S., Dudina, O.: Hysteresis control by the number of active servers in queueing system with priority service. Perform. Eval. 101, 20–33 (2016)

    Article  Google Scholar 

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Acknowledgments

The work by Chesoong Kim has been supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (Grant No. 2018K2A9A1A06072058). The work by Alexander Dudin and Sergei Dudin has been supported by “RUDN University Program 5-100”.

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Correspondence to Alexander Dudin .

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Dudin, A., Kim, C., Dudin, S. (2019). Optimal Control by the Queue with Rate and Quality of Service Depending on the Amount of Harvested Energy as a Model of the Node of Wireless Sensor Network. In: Vishnevskiy, V., Samouylov, K., Kozyrev, D. (eds) Distributed Computer and Communication Networks. DCCN 2019. Lecture Notes in Computer Science(), vol 11965. Springer, Cham. https://doi.org/10.1007/978-3-030-36614-8_13

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  • DOI: https://doi.org/10.1007/978-3-030-36614-8_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36613-1

  • Online ISBN: 978-3-030-36614-8

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