Gait Cycle Driven Transmission Power Control Scheme for Wireless Body Area Network

	Gait Cycle Driven Transmission Power Control Scheme for Wireless Body Area Network
	Weilin Zang; Ye Li
刊名	IEEE Journal of Biomedical and Health Informatics
	2017
文献子类	期刊论文
英文摘要	n wireless body area network (WBAN), walking movements can result in rapid channel fluctuations, which severely degrade the performance of transmission power control (TPC) schemes. On the other hand, these channel fluctuations are often periodic and are time-synchronized with the user’s gait cycle, since they are all driven from the walking movements. In this paper, we propose a novel gait cycle driven transmission power control (G-TPC) for WBAN. The proposed G-TPC scheme reinforces the existing TPC scheme by exploiting the periodic channel fluctuation in the walking scenario. In the proposed scheme, the user’s gait cycle information acquired by an accelerometer is used as beacons for arranging the transmissions at the time points with the ideal channel state. The specific transmission power is then determined by using received signal strength indication (RSSI). An experiment was conducted to evaluate the energy efficiency and reliability of the proposed G-TPC based on a CC2420 platform. The results reveal that compared to the original RL-TPC, G-TPC reduces energy consumption by 25% on the sensor node and reduce packet loss rate by 65%.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/12623]
专题	深圳先进技术研究院_数字所
作者单位	IEEE Journal of Biomedical and Health Informatics
推荐引用方式 GB/T 7714	Weilin Zang,Ye Li. Gait Cycle Driven Transmission Power Control Scheme for Wireless Body Area Network[J]. IEEE Journal of Biomedical and Health Informatics,2017.
APA	Weilin Zang,&Ye Li.(2017).Gait Cycle Driven Transmission Power Control Scheme for Wireless Body Area Network.IEEE Journal of Biomedical and Health Informatics.
MLA	Weilin Zang,et al."Gait Cycle Driven Transmission Power Control Scheme for Wireless Body Area Network".IEEE Journal of Biomedical and Health Informatics (2017).