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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
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)
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)
Bae, Y., Baek, J.: Optimal design of RF energy-harvesting network: throughput and delay perspective. Sensors 19(1), 1–20 (2019)
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)
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)
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)
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
Gelenbe, E., Zhang, Y.: Performance optimization with energy packets. IEEE Syst. J. (2019). https://doi.org/10.1109/JSYST.2019.2912013
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
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)
Zhang, Y.: Optimal energy distribution with energy packet networks. Probab. Eng. Inform. Sci. (2019). https://doi.org/10.1017/S0269964818000566
Ray, P.: Energy packet networks: an annotated bibliography. SN Comput. Sci. 1, 6 (2020). https://doi.org/10.1007/s42979-019-0008-x
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)
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)
Dudin, A.: Optimal multithreshold control for the \(BMAP/G/1\) queue with \(N\) service modes. Queueing Syst. 30, 41–55 (1998)
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)
Klimenok, I., Dudin, A.: Multi-dimensional asymptotically quasi-Toeplitz Markov chains and their application in queueing theory. Queueing Syst. 54, 245–259 (2006)
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)
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)
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”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-36614-8_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-36613-1
Online ISBN: 978-3-030-36614-8
eBook Packages: Computer ScienceComputer Science (R0)