Collaborative Data and Information Processing for Target Tracking In Wireless Sensor Networks

Author

Ma, Hui ; Ng, Brian W.-H.

Author_Institution

Sch. of Electr. & Electron. Eng., Adelaide Univ., Adelaide, SA

fYear

2006

fDate

16-18 Aug. 2006

Firstpage

647

Lastpage

652

Abstract

In this paper, we present the development of data and information processing algorithms for target tracking in wireless sensor networks. Firstly, we propose a collaborative data and information processing framework and describe hierarchical sensor network architecture. Then we design the novel particle filter (PF) based tracking algorithms. By using Gaussian mixture model (GMM), we develop the distributive particle filter based tracking algorithms. Finally, we present the simulation results.

Keywords

Gaussian processes; particle filtering (numerical methods); target tracking; wireless sensor networks; Gaussian mixture model; collaborative data; data processing; distributive particle filter; hierarchical sensor network architecture; information processing; target tracking; wireless sensor networks; Algorithm design and analysis; Approximation algorithms; Clustering algorithms; Collaboration; Information processing; Particle filters; Particle tracking; Radar tracking; Target tracking; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Informatics, 2006 IEEE International Conference on

Conference_Location

Singapore

Print_ISBN

0-7803-9700-2

Electronic_ISBN

0-7803-9701-0

Type

conf

DOI

10.1109/INDIN.2006.275637

Filename

4053464