Target Tracking Based Adaptive Particle Filter in Binary Wireless Sensor Networks
Ling-Dong Su, Ming-Yue Zhai, Zhi-Yu Zhu
Available Online May 2014.
- 10.2991/iccia.2012.14How to use a DOI?
- adaptive particle filter, binary wireless sensor network, target 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.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Ling-Dong Su AU - Ming-Yue Zhai AU - Zhi-Yu Zhu PY - 2014/05 DA - 2014/05 TI - Target Tracking Based Adaptive Particle Filter in Binary Wireless Sensor Networks BT - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012) PB - Atlantis Press SP - 58 EP - 62 SN - 1951-6851 UR - https://doi.org/10.2991/iccia.2012.14 DO - 10.2991/iccia.2012.14 ID - Su2014/05 ER -