Wireless sensor networks
Wireless ad-hoc sensor networks have emerged as an interesting and important research area in the last few years. The applications envisioned for sensor networks vary from monitoring inhospitable habitats and disaster areas, to operating indoors for intrusion detection and equipment monitoring.
The building block of these networks is a wireless sensor mote, denoted henceforth by sensor, with embedded sensing capabilities. Low cost and miniaturization of sensor nodes involve limited computational resources, power and communication capacities. Consequently, wireless ad-hoc sensor networks require collaborative execution of a distributed task amongst a large set of motes.

 

Modeling physical phenomena using kernel-based learning algorithms
  • HONEINE, P., RICHARD, C., et BERMUDEZ, M. A decentralized approach for nonlinear prediction of time series data in sensor networks. Submitted to IEEE transactions on signal processing, 2009.
  • HONEINE, P., RICHARD, C., BERMUDEZ, J.-C., ESSOLOH, M., SNOUSSI, H., et VINCENT, F. Functional estimation in Hilbert space for distributed learning in wireless sensor networks. IEEE ICASSP'09, 19-24 April 2009, Taipei. 4 p. [pdf] [matlab]
  • HONEINE, P., ESSOLOH, M., RICHARD, C., et SNOUSSI, H. Distributed regression in sensor networks with a reduced-order kernel model. IEEE Globecom'08, 30 November-4 December 2008, New Orleans. 4 p. [pdf]
  • HONEINE, P., RICHARD, C., BERMUDEZ, J., et SNOUSSI, H. Distributed prediction of time series data with kernels and adaptive filtering techniques in sensor networks (invited paper). ASILOMAR'08, 26-29 October 2008, Pacific Grove. 4 p.
 

Auto-localization with kernel-based learning algorithms or interval analysis
  • MOURAD, F., SNOUSSI, H., ABDALLAH, F., et RICHARD, C. Anchor-based localization via interval analysis for mobile ad-hoc sensor networks. To appear in IEEE transactions on signal processing, 2009. [pdf]
  • MOURAD, F., SNOUSSI, H., et RICHARD, C. Interval-based localization using received signal strengths comparison in MANETs. Submitted to IEEE transactions on signal processing, 2009.
  • HONEINE, P., RICHARD, C., ESSOLOH, M., et SNOUSSI, H. Localization in sensor networks. A matrix regression approach. IEEE SAM'08, 21-23 July 2008, Darmstadt. 5 p. [pdf]
  • ESSOLOH, M., RICHARD, C., SNOUSSI, H., et HONEINE, P. Distributed localization in wireless sensor networks as a pre-image problem in a reproducing kernel Hilbert space. EUSIPCO'08, 25-29 August 2008, Lausanne. 5 p.
  • MOURAD, F., SNOUSSI, H., RICHARD, C., et ABDALLAH, F. Model-free interval-based localization in MANETs. IEEE DSP'09, 4-7 January 2009, Marco Island, USA. 4 p. [pdf]
  • MOURAD, F., SNOUSSI, H., ABDALLAH, F., et RICHARD, C. Guaranteed boxed localization in Manets by interval analysis and contraints propagation techniques. IEEE Globecom'08, 30 November-4 December 2008, New Orleans. 4 p. [pdf]

 

Target tracking and sensor localization with variational filtering
  • TENG, J., SNOUSSI, H., et RICHARD, C. Prediction-based cluster management for target tracking in wireless sensor networks. Submitted to Wireless Communications and Mobile Computing, 2009.
  • TENG, J., SNOUSSI, H., et RICHARD, C. Decentralized variational filtering for target tracking in binary sensor networks. Submitted to IEEE Transactions on Mobile Computing, 2008.
  • SNOUSSI, H., and RICHARD, C. Distributed bayesian fault diagnosis of jump Markov systems in wireless sensor networks. International Journal of Sensor Networks, 2007. [pdf]
  • MANSOURI, M., OUACHANI, I., SNOUSSI, H., et RICHARD, C. Cramer-Rao bound-based quantization for target tracking in wireless sensor networks. IEEE SSP'09, 31-3 September 2009, Cardiff, UK. 4 p. [pdf]
  • SNOUSSI, H., et RICHARD, C. Monte Carlo tracking on the Riemannian manifold of multivariate Normal distributions. IEEE DSP'09, 4-7 January 2009, Marco Island, USA. 4 p. [pdf]
  • TENG, J., SNOUSSI, H., et RICHARD, C. Decentralized variational filtering for simultaneous sensor localization and target tracking in binary sensor networks. IEEE ICASSP'09, 19-24 April 2009, Taipei. 4 p. [pdf]
  • SNOUSSI, H., TOURNERET, J.-Y., DJURIC, P.-M., et RICHARD, C. Data-driven online variational filtering in wireless sensor networks. IEEE ICASSP'09, 19-24 April 2009, Taipei. 4 p. [pdf]
  • TENG, J., SNOUSSI, H., et RICHARD, C. Variational filtering algorithm for interdependent target tracking and sensor localization in wireless sensor network. EUSIPCO'08, 25-29 August 2008, Lausanne. 5 p.
  • SNOUSSI, H., et RICHARD, C. Information-theoretic node scheduling in collaborative sensor networks. ISSPA'07, 12-15 February 2007, Sharjah. [pdf]
  • TENG, J., SNOUSSI, H., and RICHARD, C. Binary variational filtering for target tracking in sensor networks. IEEE SSP'07, 26-29 August 2007, Madison. [pdf]
  • TENG, J., SNOUSSI, H., and RICHARD, C. Prediction-based proactive cluster target tracking protocol for binary sensor network. IEEE ISSPIT'07, 15-18 December 2007, Cairo. [pdf]