A sensor selection method for target tracking in wireless sensor networks using quantized variational filtering

Majdi Mansouri, Hichem Snoussi, Cédric Richard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

We consider the problem of quantized target tracking in wireless sensor networks (WSN) where the observed system is assumed to evolve according to a probabilistic state space model. We propose to improve the use of the quantized variational filtering (QVF) by jointly estimating the target position and selecting the best sensors that participate in data association. In fact, the QVF has been shown to be adapted to the communication constraints of sensor networks. Its efficiency relies on the fact that the online update of the filtering distribution and its compression are executed simultaneously. Firstly, we select the best sensor that provides satisfied data of the target and balances the energy level among all sensors and minimum node density in a local cluster. Then, we estimate the target position using the QVF algorithm. The best candidate sensors are obtained by maximizing the mutual information function under energy constraints. The efficiency of the proposed method is validated by simulation results in target tracking for wireless sensor networks.

Original languageEnglish
Title of host publication2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall - Proceedings
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall - Ottawa, ON, Canada
Duration: 6 Sep 20109 Sep 2010

Other

Other2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall
CountryCanada
CityOttawa, ON
Period6/9/109/9/10

Fingerprint

Target Tracking
Target tracking
Wireless Sensor Networks
Wireless sensor networks
Filtering
Sensor
Sensors
Target
Data Association
State-space Model
Mutual Information
Energy Levels
Probabilistic Model
Electron energy levels
Sensor networks
Sensor Networks
Compression
Update
Communication
Vertex of a graph

Keywords

  • Mutual information
  • Quantized target tracking
  • Sensor selection
  • Variational filtering
  • Wireless sensor networks

ASJC Scopus subject areas

  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Mansouri, M., Snoussi, H., & Richard, C. (2010). A sensor selection method for target tracking in wireless sensor networks using quantized variational filtering. In 2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall - Proceedings [5594511] https://doi.org/10.1109/VETECF.2010.5594511

A sensor selection method for target tracking in wireless sensor networks using quantized variational filtering. / Mansouri, Majdi; Snoussi, Hichem; Richard, Cédric.

2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall - Proceedings. 2010. 5594511.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mansouri, M, Snoussi, H & Richard, C 2010, A sensor selection method for target tracking in wireless sensor networks using quantized variational filtering. in 2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall - Proceedings., 5594511, 2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall, Ottawa, ON, Canada, 6/9/10. https://doi.org/10.1109/VETECF.2010.5594511
Mansouri M, Snoussi H, Richard C. A sensor selection method for target tracking in wireless sensor networks using quantized variational filtering. In 2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall - Proceedings. 2010. 5594511 https://doi.org/10.1109/VETECF.2010.5594511
Mansouri, Majdi ; Snoussi, Hichem ; Richard, Cédric. / A sensor selection method for target tracking in wireless sensor networks using quantized variational filtering. 2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall - Proceedings. 2010.
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