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CLC number: TP393.07

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Received: 2007-01-16

Revision Accepted: 2007-07-11

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Journal of Zhejiang University SCIENCE A 2007 Vol.8 No.12 P.1971-1982


Designing reduced beacon trajectory for sensor localization

Author(s):  HUANG Wen-liang, LI Shi-jian, LIU Duo

Affiliation(s):  School of Computer Science, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   shijianli@zju.edu.cn

Key Words:  Sensor network, Sensor localization, Mobile beacon, Virtual force

HUANG Wen-liang, LI Shi-jian, LIU Duo. Designing reduced beacon trajectory for sensor localization[J]. Journal of Zhejiang University Science A, 2007, 8(12): 1971-1982.

@article{title="Designing reduced beacon trajectory for sensor localization",
author="HUANG Wen-liang, LI Shi-jian, LIU Duo",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Designing reduced beacon trajectory for sensor localization
%A HUANG Wen-liang
%A LI Shi-jian
%A LIU Duo
%J Journal of Zhejiang University SCIENCE A
%V 8
%N 12
%P 1971-1982
%@ 1673-565X
%D 2007
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2007.A1971

T1 - Designing reduced beacon trajectory for sensor localization
A1 - HUANG Wen-liang
A1 - LI Shi-jian
A1 - LIU Duo
J0 - Journal of Zhejiang University Science A
VL - 8
IS - 12
SP - 1971
EP - 1982
%@ 1673-565X
Y1 - 2007
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2007.A1971

Localization is one of the substantial issues in wireless sensor networks. The key problem for the mobile beacon localization is how to choose the appropriate beacon trajectory. However, little research has been done on it. In this paper, firstly, we deduce the number of positions for a beacon to send a packet according to the acreage of ROI (region of interest); and next we present a novel method based on virtual force to arrange the positions in arbitrary ROI; then we apply TSP (travelling salesman problem) algorithm to the positions sequence to obtain the optimal touring path, i.e. the reduced beacon trajectory. When a mobile beacon moves along the touring path, sending RF signals at every position, the sensors in ROI can work out their position with trilateration. Experimental results demonstrate that the localization method, based on the beacon reduced path, is efficient and has flexible accuracy.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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