An RSSI-based localization method with outlier suppress for wireless sensor networks
- Resource Type
- Conference
- Authors
- Yan Ge; Zhi Zheng; Bo Yan; Jiao Yang; Yuxuan Yang; Huipeng Meng
- Source
- 2016 2nd IEEE International Conference on Computer and Communications (ICCC) Computer and Communications (ICCC), 2016 2nd IEEE International Conference on. :2235-2239 Oct, 2016
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Wireless sensor networks
Two dimensional displays
Sun
wireless sensor networks
localization
condition number
least square estimation
- Language
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.