Informatics and Applications
2022, Volume 16, Issue 3, pp 83-89
HYSTERETIC CONGESTION CONTROL IN WIRELESS CLOUD SENSOR NETWORKS
- B. Aliyu
- E. A. Machnev
- E. V. Mokrov
Abstract
The paper considers the problem of congestion analysis in a wireless sensor network. A hysteresis control
mechanism is proposed which screens out part of the load in the event of an overload of the system in order
to stabilize its operation. A mathematical model is constructed in the form of a Markov process with a finite
state space and a formula is obtained for analyzing the performance indicators of a wireless sensor network. The
probabilistic-temporal characteristics of hysteresis control, the packet drop probability, and the average queue
length are studied numerically. The hysteresis mechanism is compared with the IRED (improved random early
detection) algorithm with different control window sizes. It is shown that the hysteresis mechanism provides an
advantage in the region of high loads compared to the IRED mechanism.
[+] References (9)
- Yadav, S. L., and R. L. Ujjwal. 2021. Mitigating congestion
in wireless sensor networks through clustering and queue
assistance: A survey. J. Intell. Manuf. 32:2083-2098. doi:
10.1007/s10845-020-01640-8.
- Hasan, M. 2022. State of IoT 2022: Number of connected
IoT devices growing 18% to 14.4 billion globally. Available at: https://iot-analytics.com/number-connected-iot-devices/ (accessed July 18, 2022).
- Shiny, S. S. G., and K. Murugan. 2021. TSDN-WISE: Automatic threshold-based low control-flow communication
protocol for SDWSN. IEEE Sens. J. 21(17):19560-19569.
doi: 10.1109/JSEN.2021.3088604.
- Cisco Annual Internet Report (2018-2023) white paper.
2020. Available at: https://www.cisco.com/c/en/us/
solutions/collateral/executive-perspectives/annual-
internet-report/white-paper-c11-741490.html (accessed July 18, 2022).
- Bashir, A., E. Machnev, and E. Mokrov. 2021. Queueing
model of hysteretic congestion control for cloud
wireless sensor networks. 13th Congress (Internatioanl) on Ultra Modern Telecommunications and Control Systems Proceedings. Piscataway, NJ: IEEE. 104-108. doi: 10.1109/ICUMT54235.2021.9631576.
- Uyoata, U., J. Mwangama, and R. Adeogun. 2021. Relaying in the Internet of Things (IoT): A survey. IEEE Access 9:132675-132704. doi: 10.1109/ACCESS.2021.3112940.
- Huang, J., D. Du, Q. Duan, Y. Zhang, Y. Zhao, H. Luo, Z. Mai, and Q. Liu. 2014. Modeling and analysis on congestion control for data transmission in sensor clouds. Int. J. Distrib. Sens. N. 10(3):453983. doi: 10.1155/2014/ 453983.
- Petrov, V., A. Samuylov, V. Begishev, D. Moltchanov, S. Andreev, K. Samouylov, and Y. Koucheryavy. 2017. Vehicle-based relay assistance for opportunistic crowd sensing over Narrowband IoT (NB-IoT). IEEE Internet Things 5(5):3710-3723. doi: 10.1109/JIOT.2017.2670363.
- Krasnoselskii, M., and A. Pokrovskii. 1989. Systems with hysteresis. Berlin -Heidelberg -New York - London - Paris-Tokio: SpringerVerlag. 410p.
[+] About this article
Title
HYSTERETIC CONGESTION CONTROL IN WIRELESS CLOUD SENSOR NETWORKS
Journal
Informatics and Applications
2022, Volume 16, Issue 3, pp 83-89
Cover Date
2022-10-10
DOI
10.14357/19922264220311
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
wireless sensor networks; load control; hysteresis control; Markov process; queuing system
Authors
B. Aliyu  , E. A. Machnev , and E. V. Mokrov
Author Affiliations
Peoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Str., Moscow 117198, Russian
Federation
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