Robust target tracking with quantized proximity sensors

Majdi Mansouri, Hichem Snoussi, Cedric Richard

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

2 Citations (Scopus)

Abstract

As low energy, longevity and low cost transmitters are major requirements for wireless sensor networks (WSN), optimizing their design under energy constraints is of a great importance. To this goal and in order to solve the target tracking problem in WSN, we develop an algorithm to jointly, estimate the target position and optimize the quantization level where the transmitting power could be controlled by the sensors. At each sampling time, the adaptive algorithm provides not only the estimation of the target position by using the variational filtering (VF) but also, it gives the optimal quantization level. This optimal is obtained by minimizing the transmitting power under predicted Craḿer-Rao bound constraint. Performance analysis shows that the proposed method outperforms both the VF algorithm with uniform quantization strategy and the VF algorithm based on binary sensors. Compared to the uniform quantization strategy, numerical examples show that energy saving up to 80% can be achieved when each sensor generates the same number of bits.

Original languageEnglish
Title of host publicationISWPC 2010 - IEEE 5th International Symposium on Wireless Pervasive Computing 2010
Pages278-282
Number of pages5
DOIs
Publication statusPublished - 2010
Externally publishedYes
EventIEEE 5th International Symposium on Wireless Pervasive Computing 2010, ISWPC 2010 - Modena, Italy
Duration: 5 May 20107 May 2010

Other

OtherIEEE 5th International Symposium on Wireless Pervasive Computing 2010, ISWPC 2010
CountryItaly
CityModena
Period5/5/107/5/10

Fingerprint

Proximity sensors
Target tracking
Wireless sensor networks
Sensors
Adaptive algorithms
Transmitters
Energy conservation
Sampling
Costs

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Software

Cite this

Mansouri, M., Snoussi, H., & Richard, C. (2010). Robust target tracking with quantized proximity sensors. In ISWPC 2010 - IEEE 5th International Symposium on Wireless Pervasive Computing 2010 (pp. 278-282). [5483717] https://doi.org/10.1109/ISWPC.2010.5483717

Robust target tracking with quantized proximity sensors. / Mansouri, Majdi; Snoussi, Hichem; Richard, Cedric.

ISWPC 2010 - IEEE 5th International Symposium on Wireless Pervasive Computing 2010. 2010. p. 278-282 5483717.

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

Mansouri, M, Snoussi, H & Richard, C 2010, Robust target tracking with quantized proximity sensors. in ISWPC 2010 - IEEE 5th International Symposium on Wireless Pervasive Computing 2010., 5483717, pp. 278-282, IEEE 5th International Symposium on Wireless Pervasive Computing 2010, ISWPC 2010, Modena, Italy, 5/5/10. https://doi.org/10.1109/ISWPC.2010.5483717
Mansouri M, Snoussi H, Richard C. Robust target tracking with quantized proximity sensors. In ISWPC 2010 - IEEE 5th International Symposium on Wireless Pervasive Computing 2010. 2010. p. 278-282. 5483717 https://doi.org/10.1109/ISWPC.2010.5483717
Mansouri, Majdi ; Snoussi, Hichem ; Richard, Cedric. / Robust target tracking with quantized proximity sensors. ISWPC 2010 - IEEE 5th International Symposium on Wireless Pervasive Computing 2010. 2010. pp. 278-282
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