A Scalable Bluetooth Low Energy Design Model for Sensor Detection for an Indoor Real Time Location System

被引：0

作者：

Pancham, Jay ^{[1
]}

Millham, Richard ^{[1
]}

Fong, Simon James ^{[2
]}

机构：

[1] Durban Univ Technol, Durban, South Africa

[2] Univ Macau, Taipa, Macau, Peoples R China

来源：

COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2018, PT IV | 2018年 / 10963卷

关键词：

Bluetooth Low Energy; BLE; Real Time Location System; RSSI; Indoor positioning;

D O I：

10.1007/978-3-319-95171-3_25

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：317 / 330

页数：14

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