Paper
25 May 2023 Transmission power control strategy for wireless body area network based on energy and channel aware
Fan Lu, Peng Ren, Shuhang Luo
Author Affiliations +
Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126363L (2023) https://doi.org/10.1117/12.2675266
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China
Abstract
Wireless body area network (WBAN), as a low-power and miniaturized network attached to the human body, is extensively used in health and medical fields. Therefore, it is completely necessary to take into account the impact of human motion on the network in a mobile environment. The channel characteristics of WBAN are different due to its different human body characteristics, motion characteristics, and environment, but the characteristics of human motion are sometimes regular and sometimes irregular, making the changes in the channel of WBAN unpredictable. In this paper, a relay transmission and channel fading reserve control strategy was designed by considering the residual energy of nodes and channel changes, aiming to solve the problem of shadow fading caused by human motion and unstable links caused by channel changes. The experimental results indicated that compared with the traditional IEEE 802.15.6 protocol, this protocol reduced the network energy consumption and packet loss rate, so it was suitable for reliable data transmission under human motion.
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Fan Lu, Peng Ren, and Shuhang Luo "Transmission power control strategy for wireless body area network based on energy and channel aware", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126363L (25 May 2023); https://doi.org/10.1117/12.2675266
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KEYWORDS
Relays

Data transmission

Signal to noise ratio

Power consumption

Motion models

Wireless sensors

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