IEICE TRANSACTIONS on Communications
Transmission Power Control Using Human Motion Classification for Reliable and Energy-Efficient Communication in WBAN
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.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E102-B No.6 pp.1104-1112
- Publication Date
- 2019/06/01
- Publicized
- 2018/12/25
- 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
Authors
Sukhumarn ARCHASANTISUK
Tokyo Institute of Technology
Takahiro AOYAGI
Tokyo Institute of Technology
Keyword
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Sukhumarn ARCHASANTISUK, Takahiro AOYAGI, "Transmission Power Control Using Human Motion Classification for Reliable and Energy-Efficient Communication in WBAN" in IEICE TRANSACTIONS on Communications,
vol. E102-B, no. 6, pp. 1104-1112, June 2019, doi: 10.1587/transcom.2018HMP0010.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018HMP0010/_p
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@ARTICLE{e102-b_6_1104,
author={Sukhumarn ARCHASANTISUK, Takahiro AOYAGI, },
journal={IEICE TRANSACTIONS on Communications},
title={Transmission Power Control Using Human Motion Classification for Reliable and Energy-Efficient Communication in WBAN},
year={2019},
volume={E102-B},
number={6},
pages={1104-1112},
abstract={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.},
keywords={},
doi={10.1587/transcom.2018HMP0010},
ISSN={1745-1345},
month={June},}
Copy
TY - JOUR
TI - Transmission Power Control Using Human Motion Classification for Reliable and Energy-Efficient Communication in WBAN
T2 - IEICE TRANSACTIONS on Communications
SP - 1104
EP - 1112
AU - Sukhumarn ARCHASANTISUK
AU - Takahiro AOYAGI
PY - 2019
DO - 10.1587/transcom.2018HMP0010
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E102-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2019
AB - 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.
ER -
English
