Title :
A high-performance non-measurement MDS distributed localization algorithm in wirelesssensor networks
Author :
Shao, Xianhui ; Liu, Xiaowei ; Gao, Chao
Author_Institution :
MEMS Center, Harbin Inst. of Technol., Harbin, China
Abstract :
This paper proposes a non-measurement multidimensional scaling distributed wireless sensor network localization algorithm. Firstly, clusters are created in the network. Then, each cluster uses the non-measurement multidimensional scaling technique to locate local network and the steepest descent method is used. Finally the least squares estimate is applied to merge the local network coordinate into the coordinates of the entire network. Simulation results indicate this algorithm has high localization accuracy. The localization error is 13%.
Keywords :
gradient methods; least squares approximations; wireless sensor networks; high-performance nonmeasurement MDS distributed localization algorithm; least squares estimation; local network coordinate; localization error; nonmeasurement multidimensional scaling distributed wireless sensor network localization algorithm; steepest descent method; Accuracy; Algorithm design and analysis; Clustering algorithms; Measurement uncertainty; Sensors; Simulation; Wireless sensor networks; MDS; RSSI; localization; steepest descent;
Conference_Titel :
Optoelectronics and Microelectronics (ICOM), 2012 International Conference on
Conference_Location :
Changchun, Jilin
Print_ISBN :
978-1-4673-2638-4
DOI :
10.1109/ICoOM.2012.6316323
