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Soft Computing

, Volume 23, Issue 14, pp 5547–5557 | Cite as

A fuzzy-PSO system for indoor localization based on visible light communications

  • Giovanni PauEmail author
  • Mario Collotta
  • Vincenzo Maniscalco
  • Kim-Kwang Raymond Choo
Methodologies and Application

Abstract

Indoor positioning systems using visible light communication (VLC) have potential applications in smart buildings, for instance, in developing economical, easy-to-use, widely accessible positioning system based on light-emitting diodes. Thus using VLCs, we introduce a new fuzzy-based system for indoor localization in this paper. The system processes data from transmitters (i.e., anchor nodes) and delivers the calculated position of a receiver. A particle swarm optimization (PSO) technique is then employed to obtain the optimal configuration of the proposed fuzzy logic controllers (FLCs). Specifically, the proposed PSO technique optimizes the membership functions of the FLCs by adjusting their range to achieve the best results regarding the localization reliability. We demonstrate the utility of the proposed approach using experiments.

Keywords

Visible light communications Indoor localization Received signal strength indication Fuzzy logic controller Particle swarm optimization 

Notes

Compliance with ethical standards

Conflict of interest

All authors declare that they have no conflict of interest.

Ethical standard

This article does not contain any studies with human participants or animals performed by any of the authors.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Faculty of Engineering and ArchitectureKore University of EnnaEnnaItaly
  2. 2.Department of Information Systems and Cyber Security and Department of Electrical and Computer EngineeringUniversity of Texas at San AntonioSan AntonioUSA

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