Evidence map›Paper›PMID 39669483›Full record

ArticleHeliyon2024

Improving performance metrics in WBANs with a dynamic next beacon interval and superframe duration scheme.

Abdulwadood Alawadhi, Abdullah Almogahed, Fathey Mohammed, Bakr Ba-Quttayyan, Adnan Hussein

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Abdulwadood AlawadhiDepartment of Computers and Information Technology, Faculty of Engineering and Computing, University of Science and Technology, Aden, Yemen.
Abdullah AlmogahedDepartment of Software Engineering, Faculty of Engineering and Information Technology, Taiz University, Taiz, Yemen.
Fathey MohammedDepartment of Information Technology, Faculty of Engineering and Information Technology, Taiz University, Taiz, Yemen.
Bakr Ba-QuttayyanDepartment of Computer Science, Faculty of Computer Science & Engineering, Al-Ahgaff University, Mukalla, Yemen.
Adnan HusseinDepartment of Computer Science, Faculty of Computer Science & Engineering, Al-Ahgaff University, Mukalla, Yemen.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advancement of networking, information, and communication technologies has fueled the popularity of Wireless Body Area Networks (WBANs) in both medical (remote patient monitoring) and non-medical sectors. Due to low, medium, and high data traffic requirements, WBAN performance suffers during the synchronization process that generates periodic beacon frames between sensor nodes and the coordinator. It also suffers when sensor nodes implicitly send data to the coordinator during the fixed time slot using the Contention Access Period (CAP). In this study, we propose a solution called Dynamic Next Beacon Interval and Superframe Duration Scheme (DNBISD) to tackle these issues of the IEEE 802.15.4 standard. This standard relies on a Beacon Interval (BI) and CAP for synchronization and data transmission between sensor nodes and the coordinator. However, the standard must adapt to BI and CAP's changing traffic load requirements, resulting in drawbacks such as prolonged packet delays, increased energy consumption, and potential data loss, particularly in real-time patient monitoring applications. In order to overcome these challenges, our DNBISD scheme employs a fuzzy approach to adapt the BI and CAP based on requested synchronization and data considering input parameters like packet received ratio and buffer ratio. The inference system utilizes the Takagi, Sugeno, and Kang (TSK) fuzzy model for rational quantitative analysis. Simulations demonstrate that our proposed scheme significantly enhances data transmission, boosts the average packet delivery ratio and throughput, and reduces the coordinator's average packet loss ratio and energy consumption. Consequently, this improvement allows for more efficient data transfer among numerous nodes within the specified superframe structure.

Indexed as

6GIEEE 802.15.4Media access controlSuperframe structureTSK fuzzy modelWireless body area networks

Identifiers

PMID39669483
PMCPMC11636829

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.