Indoor Localization Algorithm Research in Intelligent Lighting

Sien Lai; Ting Shu; Guang Hui Yang; Rui Lin  Zhang

doi:10.4028/www.scientific.net/AMR.765-767.763

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Indoor Localization Algorithm Research in Intelligent Lighting
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 765-767Indoor Localization Algorithm Research in...

Indoor Localization Algorithm Research in Intelligent Lighting

Abstract:

Due to existing indoor intelligent lighting system lack of the movement path predictionand the boundary of the space detection,thispaperpresents an idea to predict the location and distinguish the boundary of the space based on the historical data of someone's motion path; Indoor positioningisappliedtointelligent lighting system, according to the existing indoor localization algorithm, combined with the historical data of motion path, design an suitable algorithm for indoor intelligent lighting system, which can predict location and distinguish the boundary of the space.

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Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

763-767

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.765-767.763

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Online since:

September 2013

Authors:

Sien Lai, Ting Shu, Guang Hui Yang, Rui Lin Zhang

Keywords:

Indoor Localization, Intelligent Lighting, Internet of Things (IOT), Wireless Location

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References

[1] Xiong Li: Research on the Lighting Optimization in Building Energy Conservation (In Chinese)[J], Urban construction theory research. NO. 5(2012).

Google Scholar

[2] Qingqing Zhao: The Review of Characteristic and Application of Intelligent Lighting Control System (In Chinese)[J], China Illuminating Engineering Journal. Vol. 4, NO. 5, (2011).

Google Scholar

[3] Weiguang Shi: Research of Indoor Localization Algorithm Based on Radio Frequency Identification Technology (In Chinese)[D], TIANJIN UNIVERSITY.

Google Scholar

[4] Tianchi Yang, Liang Jin and Juan Cheng: An Improvement CHAN Algorithm Based on TOA Position (In Chinese)[J], Acta Electronica Sinica. NO. 37, (2009).

Google Scholar

[5] Lulu Yu and Zhiying Yang: Silicon Valley. NO. 3(2012).

Google Scholar