Title :
Error analyzing for RSSI-based localization in wireless sensor networks
Author :
Chen, Wanming ; Mei, Tao ; Sun, Lei ; Liu, Yumei ; Li, Yangming ; Li, Shuai ; Liang, Huawei ; Meng, Max Q H
Author_Institution :
Inst. of Intell. Machines, Chinese Acad. of Sci., Hefei
Abstract :
Analyzing the measuring errors of nodes using received signal strength indications (RSSI) method, such as the parameter error of RSSI theoretical model and the obstacle error between neighbor nodes, this paper proposed a localization algorithm based on analyzing of RSSI errors in wireless sensor networks called ERSSI. Based on the two errors mentioned, it got the online parameter changing method for RSSI theoretical model and reduced the effect of those small obstacles. We show by both theoretical analysis and simulations that this algorithm can get low localization errors when the size of obstacles is small.
Keywords :
error analysis; wireless sensor networks; error analysis; received signal strength indications; wireless sensor networks; Algorithm design and analysis; Automation; Computer errors; Error analysis; Error correction; Intelligent control; Intelligent networks; Maximum likelihood estimation; Member and Geographic Activities Board committees; Wireless sensor networks; RSSI; errors analyzing; localization algorithm; wireless sensor networks;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593350
