Study on Weighted Centroid Localization Algorithm for an Indoor Localization
Shaoguo Xie, Liefu Ai
Available Online December 2016.
- https://doi.org/10.2991/iceeecs-16.2016.184How to use a DOI?
- Localization; RSSI; WCL
- Localization algorithm is very important in node localization. The received signal strength (RSS) can be used to reduce positioning time. In this paper, an improved weighted centroid localization algorithm based on RSSI (IWCL-RSSI) is proposed for an indoor localization. Theoretical analysis shows know that the proposed algorithm has the advantage of lower complexity, less prior information and lower power consumption. The simulation results show that the proposed algorithm is more accurate than AMWCL-RSSI (anchor_optimized modified weighted centroid localization algorithm based on RSSI), and at least as good as WCL (weighted centroid localization) in terms of the localization accuracy. Real experimental results show that IWCL-RSSI is better than WCL in terms of the localization accuracy.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Shaoguo Xie AU - Liefu Ai PY - 2016/12 DA - 2016/12 TI - Study on Weighted Centroid Localization Algorithm for an Indoor Localization BT - 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/iceeecs-16.2016.184 DO - https://doi.org/10.2991/iceeecs-16.2016.184 ID - Xie2016/12 ER -