@inproceedings{3ce3f5fd9bd4468da00c9816901cecd2,
title = "An RSSI-based localization method with outlier suppress for wireless sensor networks",
abstract = "A novel least square (LS) localization method for wireless sensor networks (WSNs) using received signal strength indicator (RSSI) is proposed in this paper. Unlike previous LS methods, the proposed method performs location calculation with the aid of the condition number of coordinate matrix to avoid the appearance of outliers. The threshold of condition number is introduced in this paper to avoid outliers while enhance the localization accuracy. Simulation results demonstrate that our approach can suppress outliers more efficiently, and improve the accuracy and stability of localization.",
keywords = "Condition number, Least square estimation, Localization, Wireless sensor networks",
author = "Yan Ge and Zhi Zheng and Bo Yan and Jiao Yang and Yuxuan Yang and Huipeng Meng",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2nd IEEE International Conference on Computer and Communications, ICCC 2016 ; Conference date: 14-10-2016 Through 17-10-2016",
year = "2017",
month = may,
day = "10",
doi = "10.1109/CompComm.2016.7925097",
language = "English",
series = "2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2235--2239",
booktitle = "2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings",
address = "United States",
}