Acta Optica Sinica, Volume. 40, Issue 7, 0706003(2020)

Design of Visible Light-Based Internet of Things Terminal Under Ultralow Illumination Conditions

Tianhao Pan1,3, Xiongbin Chen2,3、*, Chengyu Min3, Qigong Sun1,3, and Xurui Mao3
Author Affiliations
  • 1School of Micro-Electronics, University of Chinese Academy of Sciences, Beijing 101408, China
  • 2Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
  • 3State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
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    In this study, we investigate the visible light communication technology under ultralow illumination to satisfy the wide coverage and multiconnection requirements associated with the internet of things. A light-emitting diode (LED) is used to transmit the visible light signals in the infrared protocol format. The calculations denote that the human eye can not notice flicker when its modulation depth is less than 0.625%. Further, an indoor visible light communication scene (30 m×2.1 m×2.6 m) is simulated by considering a Lambertian source radiation model; the signal coverage become 616 m 2 when a 9.7 W LED illumination lamp with a 20×12 array is used as the transmitting device and the modulation depth is 0.46%. Subsequently, a visible light-based intelligent home system is developed in the laboratory to estimate the farthest distance at which a remotely controlled robot can respond to the signal with 100% accuracy. The relative error between the experimental results obtained at 14.3 m and the simulation results obtained at 14 m is 2%.

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    Tianhao Pan, Xiongbin Chen, Chengyu Min, Qigong Sun, Xurui Mao. Design of Visible Light-Based Internet of Things Terminal Under Ultralow Illumination Conditions[J]. Acta Optica Sinica, 2020, 40(7): 0706003

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Oct. 12, 2019

    Accepted: Dec. 26, 2019

    Published Online: Apr. 15, 2020

    The Author Email: Chen Xiongbin (chenxiongbin@semi.ac.cn)

    DOI:10.3788/AOS202040.0706003

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