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Title: | Contention-based traffic priority MAC protocols in wireless body area networks: A thematic review | Authors: | Farhan Masud Gaddafi Abdul-Salaam Muhammad Anwar Abdelzahir Abdelmaboud Muhammad Sheraz Arshad Malik Hadhrami Ab Ghani |
Keywords: | Wireless Body Area Networks (WBANs);MAC protocols;Traffic classification;Traffic prioritization;Contention-based Prioritization;slotted-CSMA/CA | Issue Date: | 2023 | Publisher: | Elsevier | Journal: | Egyptian Informatics Journal | Abstract: | Wireless Body Area Networks (WBANs) healthcare application is a group of heterogeneous-natured Bio-Medical Sensor Nodes (BMSNs) used to sense and monitor a patient’s vital signs, in the long run, under natural physiological conditions, without affecting the regular activities. Heterogeneous-natured BMSNs demand prioritized channel access during contention access phases to transmit data or allocate time slots in contention-free phases. Thus, contention-based prioritization of heterogeneous traffic is required in WBANs. Therefore, many researchers have considered and presented various traffic-priority Medium Access Control (MAC) protocols. This paper provides a thematic review of contention-based traffic priority MAC protocols in WBANs. Slotted Carrier Sense Multiple Access / Collision Avoidance (CSMA/CA) scheme in beacon-enabled modes of IEEE 802.15.4 and IEEE 802.15.6 MACs is also analyzed regarding contention-based traffic prioritization. In addition, a critical and comparative analysis of existing contention-based traffic priority MAC protocols is obtained. A hierarchy of contention-based traffic priority MAC protocols is proposed. This review on contention-based traffic priority MAC protocols in WBANs extends the body of knowledge. This paper, therefore, serves as the first and enhances the concept of contention-based traffic prioritization at the MAC layer in WBANs. We have confidence that this paper will stimulate a better way of solving the contention-based traffic prioritization problem. |
Description: | Scopus |
URI: | http://hdl.handle.net/123456789/4952 | ISSN: | 11108665 | DOI: | 10.1016/j.eij.2023.100410 |
Appears in Collections: | Faculty of Data Science and Computing - Journal (Scopus/WOS) |
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1-s2.0-S111086652300066X-main.pdf | 1.79 MB | Adobe PDF | View/Open |
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