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A scalable bluetooth low energy design model for sensor detection for an indoor real time location system
Pancham, Jay1; Millham, Richard1; Fong, Simon James2
2018
Conference Name18th International Conference on Computational Science and Its Applications, ICCSA 2018
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10963 LNCS
Pages317-330
Conference Date7 2, 2018 - 7 5, 2018
Conference PlaceMelbourne, VIC, Australia
Author of SourceSpringer Verlag
AbstractIndoor 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. © Springer International Publishing AG, part of Springer Nature 2018.
DOI10.1007/978-3-319-95171-3_25
Language英语
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Document TypeConference paper
专题University of Macau
Affiliation1.Durban University of Technology, Durban, South Africa;
2.University of Macau, Taipa, China
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Pancham, Jay,Millham, Richard,Fong, Simon James. A scalable bluetooth low energy design model for sensor detection for an indoor real time location system[C]//Springer Verlag,2018:317-330.
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