A Building/Environment Data Based Indoor Positioning Service

J. W.S. Liu, L. J. Chen, J. Su, C. C. Li, E. T.H. Chu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In addition to being able to provide accurate location information, indoor positioning services/systems (IPS) for large public buildings/facilities should be easy to deploy and maintain, stay scalable in response to surges in crowd density and location queries, minimize the capabilities required of user devices to use the service and degrade gracefully to be disaster resilient. This paper describes an IPS with these attributes. It is called BeDIPS (Building/environment Data-based Indoor Positioning System). Location beacons used by the system to deliver location information to users are simple Bluetooth Smart Ready devices. The paper describes the architecture, design and proof-of-concept prototypes of BeDIPS and the development tools to support its design, deployment and maintenance.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015
EditorsLaurence T. Yang, Jinjun Chen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages505-512
Number of pages8
ISBN (Electronic)9781509002146
DOIs
Publication statusPublished - 2015 Jan 1
Event2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015 - Sydney, Australia
Duration: 2015 Dec 112015 Dec 13

Publication series

NameProceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015

Other

Other2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015
CountryAustralia
CitySydney
Period15/12/1115/12/13

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Keywords

  • Bluetooth Smart Ready devices
  • indoor positioning
  • location beacons

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Theoretical Computer Science
  • Computer Networks and Communications

Cite this

Liu, J. W. S., Chen, L. J., Su, J., Li, C. C., & Chu, E. T. H. (2015). A Building/Environment Data Based Indoor Positioning Service. In L. T. Yang, & J. Chen (Eds.), Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015 (pp. 505-512). [7396550] (Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DSDIS.2015.46