The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
La fiabilité des communications et l'efficacité énergétique sont des questions importantes qui doivent être soigneusement prises en compte lors de la conception du WBAN. En raison de la grande variation de perte de trajet du canal WBAN, le contrôle de la puissance de transmission, qui ajuste de manière adaptative la puissance de transmission radio en fonction de l'état du canal, est pris en compte dans cet article. Le mouvement humain est l'un des facteurs dominants qui affectent les caractéristiques des canaux dans le WBAN. Par conséquent, cet article présente un contrôle de puissance de transmission basé sur un modèle de corrélation temporelle sensible au mouvement, qui combine la classification du mouvement humain et le contrôle de la puissance de transmission pour fournir une approche efficace pour réaliser une communication WBAN fiable et économe en énergie. La classification du mouvement humain adoptée dans cette étude utilise uniquement la force du signal reçu pour identifier le mouvement humain ; aucun outil supplémentaire n'est requis. La connaissance du mouvement humain est ensuite utilisée pour estimer avec précision l'état du canal et sélectionner de manière appropriée la puissance d'émission. Une évaluation des performances montre que la méthode proposée fonctionne bien dans les charges de réseau WBAN faibles et élevées. Par rapport à l'utilisation d'une puissance d'émission fixe de -5 dBm, la méthode proposée présentait un taux de perte de paquets similaire, mais une consommation d'énergie moyenne inférieure de 20 à 28 % et de 27 à 33 % pour les cas de trafic réseau faible et de trafic réseau élevé, respectivement.
Sukhumarn ARCHASANTISUK
Tokyo Institute of Technology
Takahiro AOYAGI
Tokyo Institute of Technology
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copier
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
Copier
@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},}
Copier
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 -