Tracking of Time-Varying Number of Moving Targets in Wireless Sensor Fields by Particle Filtering

Author(s):  
M.F. Bugallo ◽  
P.M. Djuric
2010 ◽  
Vol 27 (1) ◽  
pp. 46 ◽  
Author(s):  
Aysegul Alaybeyoglu ◽  
Kayhan Erciyes ◽  
Aylin Kantarci ◽  
Orhan Dagdeviren

2013 ◽  
Vol 756-759 ◽  
pp. 2281-2287
Author(s):  
Ling Dong Su ◽  
Ming Yue Zhai ◽  
Zhi Yu Zhu

Since real-time and communication amount is crucial for the wireless sensor network target tracking, the performance of target tracking in the wireless sensor network is critically depended on real-time and communication amount reduction. This paper presents a target tracking method based on distributed adaptive particle filtering in binary wireless sensor network. Based on dynamic clustering, the adaptive particle filter receives the observations from children nodes and formulates the local estimate with the cluster head as the processing center. Simulation results show that the method can effectively improve the real-time tracking and reduce communication amount.


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