Traffic adaptive MAC protocols in wireless body area networks
In Wireless Body Area Networks (WBANs), every healthcare application that is based on physical sensors is responsible for monitoring the vital signs data of patient. WBANs applications consist of heterogeneous and dynamic traffic loads. Routine patient’s observation is described as low-load traffic...
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my.utm.801032019-03-05T02:03:20Z http://eprints.utm.my/id/eprint/80103/ Traffic adaptive MAC protocols in wireless body area networks Masud, Farhan Abdullah, Abdul Hanan Abdul-Salaam, Gaddafi Ullah, Fasee QA75 Electronic computers. Computer science In Wireless Body Area Networks (WBANs), every healthcare application that is based on physical sensors is responsible for monitoring the vital signs data of patient. WBANs applications consist of heterogeneous and dynamic traffic loads. Routine patient’s observation is described as low-load traffic while an alarming situation that is unpredictable by nature is referred to as high-load traffic. This paper offers a thematic review of traffic adaptive Medium Access Control (MAC) protocols in WBANs. First, we have categorized them based on their goals, methods, and metrics of evaluation. The Zigbee standard IEEE 802.15.4 and the baseline MAC IEEE 802.15.6 are also reviewed in terms of traffic adaptive approaches. Furthermore, a comparative analysis of the protocols is made and their performances are analyzed in terms of delay, packet delivery ratio (PDR), and energy consumption. The literature shows that no review work has been done on traffic adaptive MAC protocols in WBANs. This review work, therefore, could add enhancement to traffic adaptive MAC protocols and will stimulate a better way of solving the traffic adaptivity problem. Hindawi 2017 Article PeerReviewed Masud, Farhan and Abdullah, Abdul Hanan and Abdul-Salaam, Gaddafi and Ullah, Fasee (2017) Traffic adaptive MAC protocols in wireless body area networks. Wireless Communications and Mobile Computing, 2017 . ISSN 1530-8669 https://dx.doi.org/10.1155/2017/8267162 DOI:10.1155/2017/8267162 |
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QA75 Electronic computers. Computer science Masud, Farhan Abdullah, Abdul Hanan Abdul-Salaam, Gaddafi Ullah, Fasee Traffic adaptive MAC protocols in wireless body area networks |
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In Wireless Body Area Networks (WBANs), every healthcare application that is based on physical sensors is responsible for monitoring the vital signs data of patient. WBANs applications consist of heterogeneous and dynamic traffic loads. Routine patient’s observation is described as low-load traffic while an alarming situation that is unpredictable by nature is referred to as high-load traffic. This paper offers a thematic review of traffic adaptive Medium Access Control (MAC) protocols in WBANs. First, we have categorized them based on their goals, methods, and metrics of evaluation. The Zigbee standard IEEE 802.15.4 and the baseline MAC IEEE 802.15.6 are also reviewed in terms of traffic adaptive approaches. Furthermore, a comparative analysis of the protocols is made and their performances are analyzed in terms of delay, packet delivery ratio (PDR), and energy consumption. The literature shows that no review work has been done on traffic adaptive MAC protocols in WBANs. This review work, therefore, could add enhancement to traffic adaptive MAC protocols and will stimulate a better way of solving the traffic adaptivity problem. |
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Article |
author |
Masud, Farhan Abdullah, Abdul Hanan Abdul-Salaam, Gaddafi Ullah, Fasee |
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Masud, Farhan Abdullah, Abdul Hanan Abdul-Salaam, Gaddafi Ullah, Fasee |
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Masud, Farhan |
title |
Traffic adaptive MAC protocols in wireless body area networks |
title_short |
Traffic adaptive MAC protocols in wireless body area networks |
title_full |
Traffic adaptive MAC protocols in wireless body area networks |
title_fullStr |
Traffic adaptive MAC protocols in wireless body area networks |
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Traffic adaptive MAC protocols in wireless body area networks |
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traffic adaptive mac protocols in wireless body area networks |
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Hindawi |
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2017 |
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http://eprints.utm.my/id/eprint/80103/ https://dx.doi.org/10.1155/2017/8267162 |
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