DocumentCode :
3112829
Title :
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
Link To Document :
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