Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)

WiFi-based Location System for Indoor Assets Management

Authors
Siquan Hu, Bowen Li, Chundong She
Corresponding Author
Siquan Hu
Available Online July 2017.
DOI
10.2991/icadme-16.2016.101How to use a DOI?
Keywords
WiFi; CC3200; Assets Location
Abstract

With the development of the wireless communication technology and intelligent wireless sensor, the positioning services based on WiFi are increasingly demanded. In this paper, we implement an indoor assets location system, based on WiFi and WiFi Received Signal Strength Indication (RSSI) measuring device which also includes a TCP transmission module. The system uses CC3200 for WiFi signal strength measurement and data transmission and python for the data processing in the cloud. We use the WiFi fingerprint calculated from RSSI which we get from a target device, by location-fingerprint database preset and special matching algorithms, we get the location of the target assets.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
Series
Advances in Engineering Research
Publication Date
July 2017
ISBN
978-94-6252-249-7
ISSN
2352-5401
DOI
10.2991/icadme-16.2016.101How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Siquan Hu
AU  - Bowen Li
AU  - Chundong She
PY  - 2017/07
DA  - 2017/07
TI  - WiFi-based Location System for Indoor Assets Management
BT  - Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 578
EP  - 581
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-16.2016.101
DO  - 10.2991/icadme-16.2016.101
ID  - Hu2017/07
ER  -