Title :
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
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
DOI :
10.1109/CCDC.2011.5968873
