Wireless Sensor Networks with Self-Organization Capabilities for Critical and Emergency Applications

Acronym:    WINSOC
Code:    IST-033914-STREP
Funder:    European Commission
Start date:    2006 September 1st
End date:    2009 June 30th
Keywords:    Self-organised wireless sensor networks, bio-inspired sensors
    
Partners:    Amrita Vishwa Vidyapeetham University, Antrix Corporation Ltd., CEA-LETI, Czech Centrum for Science and Society, Dune S.R.L., Ecole Polytechnique Fédérale de Lausanne, INTRACOM S.A., Sapienza S.L., Selex Communications S.P.A. and Universitá di Roma
SPCOM Participants:    Pau Closas Gómez, Juan Fernández Rubio, Maribel Madueño Ruiz, Alba Pagès Zamora, Silvana Silva Pereira and Josep Vidal Manzano
SPCOM Responsible:    Alba Pagès Zamora

Summary

WINSOC is a Specific Targeted Research Project co-funded by the INFSO DG of the European Commission within the RTD activities of the Thematic Priority Information Society Technologies. WINSOC explores the possibility to develop a novel technology for Wireless Sensor Networks, that has significant potentials for overcoming conventional technologies in terms of cost, size and power consumption The key idea of WINSOC is the development of a totally innovative design methodology, mimicking biologically systems, where the high accuracy and reliability of the whole sensor network is achieved through a proper interaction among nearby, low cost, sensors. This local interaction gives rise to distributed detection or estimation schemes, more accurate than that of each single sensor and capable to achieve globally optimal decisions, without the need to send all the collected data to a fusion center. The whole network is hierarchical and composed of two layers: a lower level, composed of the low cost sensors, responsible for gathering information from the environment and producing locally reliable decisions, and an upper level, composed of more sophisticated nodes, whose goal is to convey the information to the control centers. The key point is the interaction among the low cost sensors that increases the overall network reliability, it decreases the probability of congestion around the sink nodes, it provides scalability and tolerance against breakdown or stand-by of some sensors, necessary for battery recharge.

Journal publications

[1] S. Silva Pereira and A. Pagès Zamora, "Consensus in Correlated Random Wireless Sensor Networks", IEEE Transactions on Signal Processing, Vol. 59, December 2011, pp. 6279 - 6284.

[2] S. Silva Pereira and A. Pagès Zamora, "Mean Square Convergence of Consensus Algorithms in Random WSNs", IEEE Transactions on Signal Processing, Vol. 58, May 2010, pp. 2866 - 2874.

[3] E. Brahim, S. Rachid, A. Pagès Zamora and D. Aboutajdine, "Stochastic and Balanced Distributed Energy-Efficient Clustering SBDEEC for heterogeneous wireless sensor networks", INFOCOMP Journal of Computer Science, Vol. 8, September 2009, pp. 11 - 20.

Conference publications

[1] S. Silva Pereira and A. Pagès Zamora, "Randomized transmission power for accelerated consensus in asymmetric WSNs", International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, December 2009.

[2] E. Brahim, A. Pagès Zamora and D. Aboutajdine, "Real deployment of Consensus Algorithm on Self-organized Wireless Sensor Networks", IEEE International Conference on Telecommunications, May 2009, pp. 119 - 124.

[3] P. Closas Gómez, A. Pagès Zamora and J. Fernández Rubio, "A Game Theoretical algorithm for joint power and topology control in distributed WSN", IEEE International Conference on Acoustics, Speech and Signal Processing, April 2009, pp. 2765 - 2768.

[4] S. Silva Pereira and A. Pagès Zamora, "Fast Mean Square Convergence of Consensus Algorithms in WSNs with Random Topologies", IEEE International Conference on Acoustics, Speech and Signal Processing, April 2009.

[5] S. Silva Pereira and A. Pagès Zamora, "Distributed Consensus in Wireless Sensor Networks with Quantized Information Exchange", IEEE International Workshop on Signal Processing Advances for Wireless Communications, July 2008.

[6] P. Closas Gómez, E. Calvo Page, J. Fernández Rubio and A. Pagès Zamora, "Coupling Noise Effect in Self-Synchronizing Wireless Sensor Networks", IEEE International Workshop on Signal Processing Advances for Wireless Communications, June 2007.