DocumentCode
3519211
Title
Research on Improved Multidimensional Scaling Localization Algorithm for Wireless Sensor Network
Author
Tao, Liang ; Shuai, Xu ; Haiyong, Chen ; Hexu, Xun
Author_Institution
Inst. of Electr. & Autom., Hebei Univ. of Technol., Tianjin, China
Volume
2
fYear
2010
fDate
11-12 Nov. 2010
Firstpage
240
Lastpage
243
Abstract
Wireless sensor networks, which are energy limited, low hardware configuration and proneness to invalidation, puts a high demand on the positioning algorithm. Therefore the improved multidimensional scaling (IMDS) algorithm is proposed. In IMDS, firstly, local positioning areas (LPA) are established by an adaptive search algorithm. So the centralized multidimensional scaling algorithm is changed into a distributed algorithm. Then the shortest path distances between nodes on LPA are corrected with the geometric correction method (GCM) and adjusting weight correction method (AWCM). The distances between nodes become more accurate. Finally, with information of the public nodes of LPA and anchor nodes, we get the wireless sensor nodes coordinates through coordinate transformation by the SMACOF algorithm and the classical multidimensional scaling algorithm.
Keywords
Global Positioning System; distributed algorithms; matrix algebra; wireless sensor networks; AWCM; GCM; IMDS; LPA; SMACOF algorithm; adaptive search algorithm; adjusting weight correction method; geometric correction method; improved multidimensional scaling localization algorithm; local positioning area; wireless sensor network; Distance Correction; Local Positioning Areas; Multidimensional Scaling Positioning; Wireless Sensor Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
Conference_Location
Haiko
Print_ISBN
978-1-4244-8683-0
Type
conf
DOI
10.1109/ICOIP.2010.45
Filename
5663416
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