Design and Implementation of Lighting Control System Using Battery-Less Wireless Human Detection Sensor Networks

Tao YU; Yusuke KUKI; Gento MATSUSHITA; Daiki MAEHARA; Seiichi SAMPEI; Kei SAKAGUCHI

doi:10.1587/transcom.2016EBP3344

Design and Implementation of Lighting Control System Using Battery-Less Wireless Human Detection Sensor Networks

Tao YU, Yusuke KUKI, Gento MATSUSHITA, Daiki MAEHARA, Seiichi SAMPEI, Kei SAKAGUCHI

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Artificial lighting is responsible for a large portion of total energy consumption and has great potential for energy saving. This paper designs an LED light control algorithm based on users' localization using multiple battery-less binary human detection sensors. The proposed lighting control system focuses on reducing office lighting energy consumption and satisfying users' illumination requirement. Most current lighting control systems use infrared human detection sensors, but the poor detection probability, especially for a static user, makes it difficult to realize comfortable and effective lighting control. To improve the detection probability of each sensor, we proposed to locate sensors as close to each user as possible by using a battery-less wireless sensor network, in which all sensors can be placed freely in the space with high energy stability. We also proposed to use a multi-sensor-based user localization algorithm to capture user's position more accurately and realize fine lighting control which works even with static users. The system is actually implemented in an indoor office environment in a pilot project. A verification experiment is conducted by measuring the practical illumination and power consumption. The performance agrees with design expectations. It shows that the proposed LED lighting control system reduces the energy consumption significantly, 57% compared to the batch control scheme, and satisfies user's illumination requirement with 100% probability.

Publication: IEICE TRANSACTIONS on Communications Vol.E100-B No.6 pp.974-985

Publication Date: 2017/06/01

Publicized: 2016/12/12

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2016EBP3344

Type of Manuscript: PAPER

Category: Network

Authors

Tao YU
  Tokyo Institute of Technology
Yusuke KUKI
  Osaka University
Gento MATSUSHITA
  Osaka University
Daiki MAEHARA
  Tokyo Institute of Technology
Seiichi SAMPEI
  Osaka University
Kei SAKAGUCHI
  Tokyo Institute of Technology

Keyword

proof-of-concept, energy saving, LED light control, battery-less wireless human detection sensor network, multi-sensor user localization

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Tao YU, Yusuke KUKI, Gento MATSUSHITA, Daiki MAEHARA, Seiichi SAMPEI, Kei SAKAGUCHI, "Design and Implementation of Lighting Control System Using Battery-Less Wireless Human Detection Sensor Networks" in IEICE TRANSACTIONS on Communications, vol. E100-B, no. 6, pp. 974-985, June 2017, doi: 10.1587/transcom.2016EBP3344.
Abstract: Artificial lighting is responsible for a large portion of total energy consumption and has great potential for energy saving. This paper designs an LED light control algorithm based on users' localization using multiple battery-less binary human detection sensors. The proposed lighting control system focuses on reducing office lighting energy consumption and satisfying users' illumination requirement. Most current lighting control systems use infrared human detection sensors, but the poor detection probability, especially for a static user, makes it difficult to realize comfortable and effective lighting control. To improve the detection probability of each sensor, we proposed to locate sensors as close to each user as possible by using a battery-less wireless sensor network, in which all sensors can be placed freely in the space with high energy stability. We also proposed to use a multi-sensor-based user localization algorithm to capture user's position more accurately and realize fine lighting control which works even with static users. The system is actually implemented in an indoor office environment in a pilot project. A verification experiment is conducted by measuring the practical illumination and power consumption. The performance agrees with design expectations. It shows that the proposed LED lighting control system reduces the energy consumption significantly, 57% compared to the batch control scheme, and satisfies user's illumination requirement with 100% probability.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.2016EBP3344/_p

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@ARTICLE{e100-b_6_974,
author={Tao YU, Yusuke KUKI, Gento MATSUSHITA, Daiki MAEHARA, Seiichi SAMPEI, Kei SAKAGUCHI, },
journal={IEICE TRANSACTIONS on Communications},
title={Design and Implementation of Lighting Control System Using Battery-Less Wireless Human Detection Sensor Networks},
year={2017},
volume={E100-B},
number={6},
pages={974-985},
abstract={Artificial lighting is responsible for a large portion of total energy consumption and has great potential for energy saving. This paper designs an LED light control algorithm based on users' localization using multiple battery-less binary human detection sensors. The proposed lighting control system focuses on reducing office lighting energy consumption and satisfying users' illumination requirement. Most current lighting control systems use infrared human detection sensors, but the poor detection probability, especially for a static user, makes it difficult to realize comfortable and effective lighting control. To improve the detection probability of each sensor, we proposed to locate sensors as close to each user as possible by using a battery-less wireless sensor network, in which all sensors can be placed freely in the space with high energy stability. We also proposed to use a multi-sensor-based user localization algorithm to capture user's position more accurately and realize fine lighting control which works even with static users. The system is actually implemented in an indoor office environment in a pilot project. A verification experiment is conducted by measuring the practical illumination and power consumption. The performance agrees with design expectations. It shows that the proposed LED lighting control system reduces the energy consumption significantly, 57% compared to the batch control scheme, and satisfies user's illumination requirement with 100% probability.},
keywords={},
doi={10.1587/transcom.2016EBP3344},
ISSN={1745-1345},
month={June},}

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TY - JOUR
TI - Design and Implementation of Lighting Control System Using Battery-Less Wireless Human Detection Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 974
EP - 985
AU - Tao YU
AU - Yusuke KUKI
AU - Gento MATSUSHITA
AU - Daiki MAEHARA
AU - Seiichi SAMPEI
AU - Kei SAKAGUCHI
PY - 2017
DO - 10.1587/transcom.2016EBP3344
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E100-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2017
AB - Artificial lighting is responsible for a large portion of total energy consumption and has great potential for energy saving. This paper designs an LED light control algorithm based on users' localization using multiple battery-less binary human detection sensors. The proposed lighting control system focuses on reducing office lighting energy consumption and satisfying users' illumination requirement. Most current lighting control systems use infrared human detection sensors, but the poor detection probability, especially for a static user, makes it difficult to realize comfortable and effective lighting control. To improve the detection probability of each sensor, we proposed to locate sensors as close to each user as possible by using a battery-less wireless sensor network, in which all sensors can be placed freely in the space with high energy stability. We also proposed to use a multi-sensor-based user localization algorithm to capture user's position more accurately and realize fine lighting control which works even with static users. The system is actually implemented in an indoor office environment in a pilot project. A verification experiment is conducted by measuring the practical illumination and power consumption. The performance agrees with design expectations. It shows that the proposed LED lighting control system reduces the energy consumption significantly, 57% compared to the batch control scheme, and satisfies user's illumination requirement with 100% probability.
ER -