Target Tracking Based Adaptive Particle Filter in Binary Wireless Sensor Networks

DOI

10.2991/iccia.2012.14How to use a DOI?

Keywords

adaptive particle filter, binary wireless sensor network, target tracking

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.

Copyright

© 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/).

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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  -