Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)

Personal Positioning Method of Digital Community Monitoring System

Authors
Ke Hongdi, Lu Ming
Corresponding Author
Ke Hongdi
Available Online June 2016.
DOI
10.2991/icemc-17.2017.195How to use a DOI?
Keywords
Digital Medical Care; Wireless Network; RSSI; Maximum Likelihood Estimation Algorithm; Trilateral-weighted Centroid localization algorithm
Abstract

Wireless network can be used to digital community monitoring system, personal positioning method is the important component of the digital community monitoring system. On the basis of studying the traditional personal positioning algorithms, we proposed a trilateral-weighted centroid localization algorithm. On a wireless network hardware platform we validated that this algorithm had Higher precision than traditional algorithms.

Copyright
© 2017, 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 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
Series
Advances in Computer Science Research
Publication Date
June 2016
ISBN
10.2991/icemc-17.2017.195
ISSN
2352-538X
DOI
10.2991/icemc-17.2017.195How to use a DOI?
Copyright
© 2017, 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  - Ke Hongdi
AU  - Lu Ming
PY  - 2016/06
DA  - 2016/06
TI  - Personal Positioning Method of Digital Community Monitoring System
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
PB  - Atlantis Press
SP  - 960
EP  - 964
SN  - 2352-538X
UR  - https://doi.org/10.2991/icemc-17.2017.195
DO  - 10.2991/icemc-17.2017.195
ID  - Hongdi2016/06
ER  -