Impact of the Type of Correlated Event Detection on the Reliability of the Limited-Time Information Delivery Using the PRAW Mechanism

One of the ways to ensure fast and reliable information delivery from sensors operating in heterogeneous wireless networks is to use Wi-Fi HaLow technology, and, in particular, the Periodic Restricted Access Window (PRAW) mechanism. Most studies investigating PRAW in scenarios of reliable information delivery within a limited time assume that traffic generated at the sensors is not correlated. However, in real-world scenarios there are often situations where the same event causing traffic is detected simultaneously by multiple sensors. In this paper, we use analytical modelling to investigate the impact of the dispersion and asymmetry coefficient of the distribution of the number of sensors simultaneously detecting an event on the reliability of information delivery within the limited time using PRAW.

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Publication Details

Journal
Journal of Communications Technology and Electronics
Published
2025-04-01
DOI
https://doi.org/10.1134/s1064226925700330
Primary Topic
Wireless Networks and Protocols
Type
article
Field-Weighted Citation Impact
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article

Impact of the Type of Correlated Event Detection on the Reliability of the Limited-Time Information Delivery Using the PRAW Mechanism

Andrey Lyakhov, Evgeny Khorov, M. V. Shlapak
Journal of Communications Technology and Electronics
Wireless Networks and Protocols
article

Impact of the Type of Correlated Event Detection on the Reliability of the Limited-Time Information Delivery Using the PRAW Mechanism

Andrey Lyakhov, Evgeny Khorov, M. V. Shlapak
article en

Abstract

One of the ways to ensure fast and reliable information delivery from sensors operating in heterogeneous wireless networks is to use Wi-Fi HaLow technology, and, in particular, the Periodic Restricted Access Window (PRAW) mechanism. Most studies investigating PRAW in scenarios of reliable information delivery within a limited time assume that traffic generated at the sensors is not correlated. However, in real-world scenarios there are often situations where the same event causing traffic is detected simultaneously by multiple sensors. In this paper, we use analytical modelling to investigate the impact of the dispersion and asymmetry coefficient of the distribution of the number of sensors simultaneously detecting an event on the reliability of information delivery within the limited time using PRAW.

Journal of Communications Technology and ElectronicsVol. 70(4)
Moscow Institute of Physics and Technology (RU), Moscow Power Engineering Institute (RU), Institute for Information Transmission Problems (RU), Moscow Aviation Institute (RU)
Openalex Percentile: Top 56%
Wireless Networks and Protocols
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