DocumentCode :
2866564
Title :
The Multidimensional Scaling and Barycentric Coordinates Based Distributed Localization in Wireless Sensor Networks
Author :
Hou, Cuiqin ; Hou, Yibin ; Huang, Zhangqin ; Zhang, Huibing
Author_Institution :
Embedded Software & Syst. Inst., Beijing Univ. of Technol., Beijing, China
fYear :
2011
fDate :
20-22 Oct. 2011
Firstpage :
156
Lastpage :
160
Abstract :
Position information is vital for wireless sensor networks in many applications. In this paper, based on the barycentric coordinate system, we incorporate a term constrains sensors to remain the intrinsic structure revealed by range measurements between neighboring nodes into the STRESS function, which is the cost function optimized by the distributed weighted-multidimensional scaling algorithm (dwMDS). By minimizing the modified cost function, we derive a distributed localization algorithm called the Multidimensional Scaling and Barycentric Coordinates based Distributed Localization Algorithm (MDS_BC_DLA). Experimental results on four different types of WSNs show MDS_BC_DLA outperforms dwMDS.
Keywords :
distributed algorithms; radiotelemetry; wireless sensor networks; MDS_BC_DLA; STRESS function; barycentric coordinate system; cost function; distributed localization algorithm; distributed weighted-multidimensional scaling algorithm; dwMDS; modified cost function; position information; term constraint sensor; wireless sensor network; Classification algorithms; Coordinate measuring machines; Cost function; Sensors; Signal processing algorithms; Vectors; Wireless sensor networks; Barycentric Coordinates; Distributed Localization; Multidimensional Scaling; Wireless Sensor Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2011 12th International Conference on
Conference_Location :
Gwangju
Print_ISBN :
978-1-4577-1807-6
Type :
conf
DOI :
10.1109/PDCAT.2011.79
Filename :
6118946
Link To Document :
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