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A scalable bluetooth low energy design model for sensor detection for an indoor real time location system
Jay Pancham1; Richard Millham1; Simon James Fong2
2018-07-04
Conference Name18th International Conference on Computational Science and Its Applications, ICCSA 2018
Source PublicationComputational Science and Its Applications – ICCSA 2018
Volume10963 LNCS
Pages317-330
Conference DateJuly 2–5, 2018
Conference PlaceMelbourne, VIC, Australia
Author of SourceSpringer Verlag
PublisherSPRINGER INTERNATIONAL PUBLISHING AG, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
Abstract

Indoor Real Time Location Systems (RTLS) research identifies Bluetooth Low Energy as one of the technologies that promise an acceptable response to the requirements of the Healthcare environment. A scalable dynamic model for sensor detection, which uses the latest developments of Bluetooth Low Energy, is designed to extend its range coverage. This design extends on our previous papers which tested the range and signal strength through multiple types of obstructions. The model is based on the scenarios and use cases identified for future use in RTLS within the Health care sector. The Unified Modelling Language (UML) is used to present the models and inspections and walkthroughs are used to validate and verify them. This model will be implemented using Bluetooth Low Energy devices for patients and assets with in the Health care sector. 

KeywordBluetooth Low Energy Ble Real Time Location System Rssi Indoor Positioning
DOI10.1007/978-3-319-95171-3_25
Indexed ByCPCI-S
Language英語English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Theory & Methods
WOS IDWOS:000460578500025
Scopus ID2-s2.0-85049945968
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Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorJay Pancham; Richard Millham; Simon James Fong
Affiliation1.Durban University of Technology, Durban, South Africa
2.University of Macau, Taipa, China
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Jay Pancham,Richard Millham,Simon James Fong. A scalable bluetooth low energy design model for sensor detection for an indoor real time location system[C]. Springer Verlag:SPRINGER INTERNATIONAL PUBLISHING AG, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, 2018, 317-330.
APA Jay Pancham., Richard Millham., & Simon James Fong (2018). A scalable bluetooth low energy design model for sensor detection for an indoor real time location system. Computational Science and Its Applications – ICCSA 2018, 10963 LNCS, 317-330.
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