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Author:

Hou, Cuiqin (Hou, Cuiqin.) | Hou, Yibin (Hou, Yibin.) (Scholars:侯义斌) | Huang, Zhangqin (Huang, Zhangqin.) (Scholars:黄樟钦) | Zhang, Huibing (Zhang, Huibing.)

Indexed by:

EI Scopus

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. © 2011 IEEE.

Keyword:

Cost functions Distributed computer systems Wireless sensor networks

Author Community:

  • [ 1 ] [Hou, Cuiqin]Embedded Software and System Institute, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Hou, Yibin]Embedded Software and System Institute, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Huang, Zhangqin]Embedded Software and System Institute, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Zhang, Huibing]Embedded Software and System Institute, Beijing University of Technology, Beijing 100124, China
  • [ 5 ] [Zhang, Huibing]GuiLin University of Electronic Technology, Guilin, GuangXi, 541004, China

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Source :

Year: 2011

Page: 156-160

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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