Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)

Study on Weighted Centroid Localization Algorithm for an Indoor Localization

Authors
Shaoguo Xie, Liefu Ai
Corresponding Author
Shaoguo Xie
Available Online December 2016.
DOI
https://doi.org/10.2991/iceeecs-16.2016.184How to use a DOI?
Keywords
Localization; RSSI; WCL
Abstract
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.
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Proceedings
2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-265-7
ISSN
2352-538X
DOI
https://doi.org/10.2991/iceeecs-16.2016.184How to use a DOI?
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  -