Title :
Weighted centroid localization for wireless sensor networks
Author :
Shaoguo Xie ; Yanjun Hu ; Yi Wang
Author_Institution :
Key Lab. of Intell. Comput. & Signal Process., AnHui Univ., Hefei, China
Abstract :
Localization is essential in the field of wireless sensor networks (WSNs). Compared to other non-interactive localization algorithms, the weighted centroid localization scheme only uses the information of the received signal strength (RSS), which makes it simple to implement and robust to variation in the propagation environment. In this paper, we propose an improved weighted centroid localization algorithm based on RSSI for an indoor localization. Real experimental results show that IWCL-RSSI is better than WCL (weighted centroid localization) in terms of the localization accuracy.
Keywords :
indoor radio; radiowave propagation; wireless sensor networks; IWCL-RSSI; WSN; indoor localization; propagation environment; received signal strength information; weighted centroid localization scheme; wireless sensor networks; Accuracy; Algorithm design and analysis; Educational institutions; Indoor environments; Loss measurement; Signal processing algorithms; Wireless sensor networks; RSSI; WCL; WSNs; anchor;
Conference_Titel :
Consumer Electronics - China, 2014 IEEE International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/ICCE-China.2014.7029859
