AMW-SMC: A fast and accurate localization method for mobile targets in wireless networks

Author

Ximeng Mao ; Cailian Chen ; Xinping Guan

Author_Institution

Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China

fYear

2013

fDate

12-14 June 2013

Firstpage

562

Lastpage

567

Abstract

For mobile localization, one of the main difficulties is how to obtain the targets´ locations quickly and accurately. In this paper, by exploring the characteristics of mobility model, we propose an Adaptive Multidimensional scaling-dependent Weighting based Sequential Monte Carlo (AMW-SMC) method for mobile localization. The main feature of the AMW-SMC method is speeding-up the localization process while preserving high precision on the results. Simulations using synthetic moving traces and experiments using real moving traces with NanoPAN5375RF motes are presented in this paper to validate the performance of the proposed AMW-SMC method.

Keywords

Monte Carlo methods; mobile radio; AMW-SMC; NanoPAN5375RF motes; adaptive multidimensional scaling-dependent weighting based sequential Monte Carlo method; localization process; mobile localization; mobile targets; mobility model; real moving traces; synthetic moving traces; target locations; wireless networks; Adaptation models; Adaptive systems; Distance measurement; Mobile communication; Monte Carlo methods; Optimization; Time measurement; Adaptive Adjustment; Localization; Mobility; Multidimensional scaling; Sequential Monte Carlo;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Automation (ICCA), 2013 10th IEEE International Conference on

Conference_Location

Hangzhou

ISSN

1948-3449

Print_ISBN

978-1-4673-4707-5

Type

conf

DOI

10.1109/ICCA.2013.6565094

Filename

6565094