Novel MAC protocol for handling correlation and dynamics of medical traffic in WBANs

被引:1
|
作者
Negra, Rim [1 ]
Jemili, Imen [2 ]
Belghith, Abdelfettah [3 ]
机构
[1] Manouba Univ, Manouba, Tunisia
[2] Univ Manouba, RIADI, ENSI, Manouba, Tunisia
[3] King Saud Univ, Comp Sci Dept, Riyadh, Saudi Arabia
关键词
Healthcare; IEEE; 802.15.6; Data correlation; Traffic awareness; WBANs; Medical applications; BODY AREA NETWORKS; AWARE;
D O I
10.1016/j.adhoc.2023.103236
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In Wireless Body Area Networks (WBANs), it is crucial to ensure reliable and timely delivery of gathered data, despite their intrinsic challenges related to limited resources at the sensor level. In fact, in the medical context, most real-time and life-critical applications are both delay-sensitive and loss-sensitive; the loss or corruption packets carrying critical data due to unreliable wireless networks could have severe consequences. In this regard, the concept of context awareness can be exploited; the more an application acquires additional information about users, sensors, and their context, the better it can adapt its functional behavior to improve its performance of delay, throughput and packet loss. Thus, acquiring some knowledge about the patient's medical state over time may enhance the interpretation and intervention of the medical staff. In this context, we propose a dynamic context-aware MAC protocol (DMTM-MAC) that takes into account the dynamic and correlation aspects of medical traffic in order to adjust the channel access mechanisms and the general network behavior. We assign to each sensor a context that reflects the type of traffic generated and its QoS constraints. We aim to track specific biosensors, which are related to vital indicators relevant to a specific disease; the associated measurements may reflect the variation of the patient's state over time. To such nodes, we assign a new node context, called dynamic context, which can help to predict the eventual health decline over time. The body node coordinator will have the ability to analyze the received data in order to detect abnormalities and disease evolution. Observed changes in collected measurements can be an early predictor of an advanced or complicated situation and can allow this BAN coordinator to handle dynamic context changes in these types of sensors by increasing their priority and transmission frequency to cope with the current situation. Performance evaluation showed that DMTM-MAC outperforms both MTM-MAC and IEEE 802.15.6 in terms of delay and packet delivery ratio. The proposed approach enhances the delay up to 80 % over IEEE 802.15.6.
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页数:19
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