Target Tracking Based Adaptive Particle Filter in Binary Wireless Sensor Networks

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 2281-2287
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.2281
• Online since: September 2013
• Authors: Ling Dong Su, Ming Yue Zhai, Zhi Yu Zhu
• Keywords: Adaptive Particle Filter, Binary Wireless Sensor Network, Target Tracking

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