Research on the Target Tracking Algorithm for Wireless Sensor Network Based on Improved Particle Filter

2012 ◽  
Vol 7 (11) ◽  
pp. 11-19 ◽  
Author(s):  
Liang Peng ◽  
Xinhan Huang ◽  
Li He
Keyword(s):  
Wireless Sensor Network ◽  
Particle Filter ◽  
Target Tracking ◽  
Sensor Network ◽  
Tracking Algorithm ◽  
Wireless Sensor

Target Tracking Based Adaptive Particle Filter in Binary Wireless Sensor Networks

2013 ◽  
Vol 756-759 ◽  
pp. 2281-2287
Author(s):  
Ling Dong Su ◽  
Ming Yue Zhai ◽  
Zhi Yu Zhu
Keyword(s):  
Wireless Sensor Network ◽  
Particle Filter ◽  
Target Tracking ◽  
Real Time ◽  
Sensor Network ◽  
Particle Filtering ◽  
Cluster Head ◽  
Wireless Sensor ◽  
Local Estimate ◽  
Real Time Tracking

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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