Transmission Power Control Using Human Motion Classification for Reliable and Energy-Efficient Communication in WBAN

Sukhumarn ARCHASANTISUK  Takahiro AOYAGI  

Publication
IEICE TRANSACTIONS on Communications   Vol.E102-B   No.6   pp.1104-1112
Publication Date: 2019/06/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2018HMP0010
Type of Manuscript: Special Section PAPER (Special Section on Healthcare, Medical Information and Communication Technology for Safe and Secure Society)
Category: 
Keyword: 
wireless body area network,  power control,  motion classification,  reliable communication,  energy-efficiency,  

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Summary: 
Communication reliability and energy efficiency are important issues that have to be carefully considered in WBAN design. Due to the large path loss variation of the WBAN channel, transmission power control, which adaptively adjusts the radio transmit power to suit the channel condition, is considered in this paper. Human motion is one of the dominant factors that affect the channel characteristics in WBAN. Therefore, this paper introduces motion-aware temporal correlation model-based transmission power control that combines human motion classification and transmission power control to provide an effective approach to realizing reliable and energy-efficient WBAN communication. The human motion classification adopted in this study uses only the received signal strength to identify the human motion; no additional tool is required. The knowledge of human motion is then used to accurately estimate the channel condition and suitably select the transmit power. A performance evaluation shows that the proposed method works well both in the low and high WBAN network loads. Compared to using the fixed Tx power of -5dBm, the proposed method had similar packet loss rate but 20-28 and 27-33 percent lower average energy consumption for the low network traffic and high network traffic cases, respectively.