Residential College | false |
Status | 已發表Published |
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 Name | 18th International Conference on Computational Science and Its Applications, ICCSA 2018 |
Source Publication | Computational Science and Its Applications – ICCSA 2018 |
Volume | 10963 LNCS |
Pages | 317-330 |
Conference Date | July 2–5, 2018 |
Conference Place | Melbourne, VIC, Australia |
Author of Source | Springer Verlag |
Publisher | SPRINGER 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. |
Keyword | Bluetooth Low Energy Ble Real Time Location System Rssi Indoor Positioning |
DOI | 10.1007/978-3-319-95171-3_25 |
Indexed By | CPCI-S |
Language | 英語English |
WOS Research Area | Computer Science |
WOS Subject | Computer Science, Theory & Methods |
WOS ID | WOS:000460578500025 |
Scopus ID | 2-s2.0-85049945968 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
Corresponding Author | Jay Pancham; Richard Millham; Simon James Fong |
Affiliation | 1.Durban University of Technology, Durban, South Africa 2.University of Macau, Taipa, China |
Corresponding Author Affilication | University 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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