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Distributed Particle Flow Filter for Target Tracking in Wireless Sensor Networks
Joint Authors
Wang, Junjie
Zhao, Lingling
Su, Xiaohong
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-11
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
We propose, in this paper, a fully distributed tracking algorithm based on particle flow filter over sensor networks based on the max-consensus.
The presented distributed particle flow filter is particularly suitable for the sensor network with limited sensing range and consists of two phases: the estimation phase and consensus phase.
The local estimation results are obtained via particle flow filter in the estimation phase; then the sensor nodes agree on the best estimation based on max-consensus protocol in the consensus phase.
Numerical simulations and comparisons with other distributed target tracking algorithms are carried out to show the effectiveness and feasibility of our approach.
American Psychological Association (APA)
Wang, Junjie& Zhao, Lingling& Su, Xiaohong. 2018. Distributed Particle Flow Filter for Target Tracking in Wireless Sensor Networks. Journal of Sensors،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1201562
Modern Language Association (MLA)
Wang, Junjie…[et al.]. Distributed Particle Flow Filter for Target Tracking in Wireless Sensor Networks. Journal of Sensors No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1201562
American Medical Association (AMA)
Wang, Junjie& Zhao, Lingling& Su, Xiaohong. Distributed Particle Flow Filter for Target Tracking in Wireless Sensor Networks. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1201562
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201562