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The Optimal Beacon Placement for Indoor Positioning

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Advances in Network-Based Information Systems (NBiS 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 22))

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Abstract

In recent years, based on the development of low-power transmission technologies, the issue of indoor positioning has also received increasing attention. This paper combines grid technology to transform the indoor positioning of Beacon deployment problems into optimization problems. Considering the RSSI signal drift problem, this optimization model converts the RSSI signal strength to Signal Power Ranking (SPR), which is a combination of Simulated Annealing (SA). In order to obtain the location and transmission power of Beacon, to achieve the objective of providing complete identification and the best identification rate with the minimum number of Beacons. At the same time, we also use the IBM ILOG CPLEX optimization tool to verify the SA algorithm. The simulation results show that under different topologies, the SA algorithm can reach the results with the CPLEX tool in a shorter time.

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References

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Author information

Authors and Affiliations

  1. Department of CSIE, National Yunlin University of Science and Technology, Yunlin, Taiwan

    Ching-Lung Chang & Chun-yen Wu

Authors
  1. Ching-Lung Chang
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  2. Chun-yen Wu
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Corresponding author

Correspondence to Ching-Lung Chang .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Faculty of Management, Comenius University in Bratislava, Bratislava, Slovakia

    Natalia Kryvinska

  3. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  4. Department of Advanced Sciences, Hosei University, Tokyo, Japan

    Makoto Takizawa

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Chang, CL., Wu, Cy. (2019). The Optimal Beacon Placement for Indoor Positioning. In: Barolli, L., Kryvinska, N., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-98530-5_62

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