Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)

Research on Improved RSSI for Personal Positioning Method of Digital Community Monitoring System

Authors
Hongdi Ke
Corresponding Author
Hongdi Ke
Available Online October 2017.
DOI
https://doi.org/10.2991/meici-17.2017.7How to use a DOI?
Keywords
Digital Medical Care; Zigbee ;RSSI; Trilateral-weighted Centroid Localization Algorithm; Geometric Measurement Algorithm
Abstract

Zigbee 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 RSSI and Trilateral-weighted centroid localization algorithms, we proposed a improved RSSI algorithm. On a wireless network hardware platform we validated that this geometric measurement algorithm had Higher precision than other 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 Management, Education, Information and Control (MEICI 2017)
Series
Advances in Intelligent Systems Research
Publication Date
October 2017
ISBN
10.2991/meici-17.2017.7
ISSN
1951-6851
DOI
https://doi.org/10.2991/meici-17.2017.7How 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  - Hongdi Ke
PY  - 2017/10
DA  - 2017/10
TI  - Research on Improved RSSI for Personal Positioning Method of Digital Community Monitoring System
BT  - Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)
PB  - Atlantis Press
SP  - 29
EP  - 32
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-17.2017.7
DO  - https://doi.org/10.2991/meici-17.2017.7
ID  - Ke2017/10
ER  -