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Dynamical optimized lamps distribution based on genetic algorithm for visible light communications
Author(s): Mengyuan Tan; Jian Chen
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Paper Abstract

This paper proposed a genetic algorithm to reduce the dead zone of indoor visible light communication by optimizing lamps distribution. There are some rooms in different states are taken into account in this paper, including the fraises or windows in the room. Besides that, the lighting requirement of the room is also influencing the lighting source layout. By the efforts of genetic algorithm, the effective area ratio can achieve 97.28% in an empty room, or 91.04% in the room with ambient light noise. In the room with fraises, the effective area ratio is between 94.85% to 95.71%. It can be demonstrated by experiments that the genetic algorithm can meet the requirement of optimized the lighting infrastructure design in a dynamic environment.

Paper Details

Date Published: 20 December 2019
PDF: 6 pages
Proc. SPIE 11209, Eleventh International Conference on Information Optics and Photonics (CIOP 2019), 1120948 (20 December 2019); doi: 10.1117/12.2549517
Show Author Affiliations
Mengyuan Tan, Nanjing Univ. of Posts and Telecommunications (China)
Jian Chen, Nanjing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 11209:
Eleventh International Conference on Information Optics and Photonics (CIOP 2019)
Hannan Wang, Editor(s)

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