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

fYear

2012

fDate

23-25 Aug. 2012

Firstpage

493

Lastpage

495

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Optoelectronics and Microelectronics (ICOM), 2012 International Conference on

Conference_Location

Changchun, Jilin

Print_ISBN

978-1-4673-2638-4

Type

conf

DOI

10.1109/ICoOM.2012.6316323

Filename

6316323