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Easy to Install Indoor Positioning System that Parasitizes Home Lighting

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Ambient Intelligence (AmI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10217))

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Abstract

This paper proposes a new indoor positioning system that utilizes home lighting. We design a beacon for use in the system that is inserted between a home light bulb and its socket, and is supplied with electricity from the socket. This means that the end user can easily install the system in his/her environment. In addition, we propose a fingerprinting-based indoor positioning method that employs signals received from the beacons. Because the ON/OFF states of our beacons change according to the ON/OFF states of the lighting, the signal strengths from the beacons also change greatly and this reduces positioning accuracy. So, we improve the positioning accuracy by estimating the ON/OFF states of the lighting based on the residents’ life patterns.

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References

  1. Kaemarungsi, K., Krishnamurthy, P.: Modeling of indoor positioning systems based on location fingerprinting. In: INFOCOM 2004, vol. 2, pp. 1012–1022 (2004)

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  2. Patel, S.N., Truong, K.N., Abowd, G.D.: PowerLine positioning: a practical sub-room-level indoor location system for domestic use. In: Dourish, P., Friday, A. (eds.) UbiComp 2006. LNCS, vol. 4206, pp. 441–458. Springer, Heidelberg (2006). doi:10.1007/11853565_26

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Acknowledgement

This work was partially supported by JST CREST and JSPS KAKENHI Grant Number JP26730047 and 16H06539.

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Authors and Affiliations

  1. Osaka University, Osaka, Japan

    Takuya Maekawa & Yuki Sakumichi

Authors
  1. Takuya Maekawa
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  2. Yuki Sakumichi
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Corresponding author

Correspondence to Takuya Maekawa .

Editor information

Editors and Affiliations

  1. Fraunhofer IGD, Darmstadt, Germany

    Andreas Braun

  2. Center for Research in Security and Privacy CRISP, Darmstadt, Germany

    Reiner Wichert

  3. University of Malaga, Malaga, Spain

    Antonio Maña

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Maekawa, T., Sakumichi, Y. (2017). Easy to Install Indoor Positioning System that Parasitizes Home Lighting. In: Braun, A., Wichert, R., Maña, A. (eds) Ambient Intelligence. AmI 2017. Lecture Notes in Computer Science(), vol 10217. Springer, Cham. https://doi.org/10.1007/978-3-319-56997-0_9

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  • DOI: https://doi.org/10.1007/978-3-319-56997-0_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56996-3

  • Online ISBN: 978-3-319-56997-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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