A particle filter algorithm for odor source localization in wireless sensor network

Author

Zhang, Yong ; Meng, Qing-Hao ; Wu, Yu-Xiu ; Zeng, Ming

Author_Institution

Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China

fYear

2011

fDate

23-25 May 2011

Firstpage

3731

Lastpage

3736

Abstract

In this paper, we address the odor source localization (OSL) problem in wireless sensor network. The OSL has potential application in the fields such as environmental monitoring, pollution control, and explosives detection. A particle filter (PF) is proposed for the location estimation of the odor source using the concentration measured at regular intervals by a network of spatially distributed chemical sensors. Numerical analysis of the PF performance for different sensor distance is presented. Maximum likelihood estimator (MLE) algorithm is also implemented for comparison. Simulation results show that the PF based OSL algorithm has higher localization accuracy and is more robust than the MLE based OSL algorithm.

Keywords

distributed sensors; electronic noses; maximum likelihood estimation; particle filtering (numerical methods); signal processing; wireless sensor networks; OSL; maximum likelihood estimator algorithm; numerical analysis; odor source localization; odor source location estimation; particle filter; particle filter algorithm; spatially distributed chemical sensors; wireless sensor network; Atmospheric measurements; Mathematical model; Maximum likelihood estimation; Particle filters; Particle measurements; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2011 Chinese

Conference_Location

Mianyang

Print_ISBN

978-1-4244-8737-0

Type

conf

DOI

10.1109/CCDC.2011.5968873

Filename

5968873