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/).
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 -