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2019 | OriginalPaper | Chapter

Ultra-Low Power Localization System Using Mobile Cloud Computing

Authors : Junjian Huang, Yubin Zhao, XiaoFan Li, Cheng-Zhong Xu

Published in: Cloud Computing – CLOUD 2019

Publisher: Springer International Publishing

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Abstract

In the existing positioning system based on bluetooth (BT), the interference of the positioning device signal, the slow processing speed of the positioning data and the large energy consumption of the positioning device affect the system positioning accuracy and service quality. In this paper, we propose an Ultra-Low power indoor localization system using mobile cloud computing. The mobile cloud server reduces the signal interference of the positioning device, improves the positioning accuracy and reduces the system energy consumption by controlling the working mode of the positioning device. A simultaneous localization and power adaptation scheme is developed. In the real experiment evaluation, our proposed system can localize the area of a terminal located within 3 m distance with \(98\%\) accuracy and average positioning error less then 1.55 m. Compare with other BLE system, \(97\%\) average energy consumption of our system is reduced.

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Metadata
Title
Ultra-Low Power Localization System Using Mobile Cloud Computing
Authors
Junjian Huang
Yubin Zhao
XiaoFan Li
Cheng-Zhong Xu
Copyright Year
2019
Book
Cloud Computing – CLOUD 2019

Print ISBN: 978-3-030-23501-7

Electronic ISBN: 978-3-030-23502-4

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-23502-4_1

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