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A Cooperative Sensor Network: Optimal Deployment and Functioning

Published online by Cambridge University Press:  11 January 2011

Alfonso Farina
Affiliation:
SELEX Sistemi Integrati s.p.a., via Tiburtina km 12 400, 00131 Roma, Italy. [email protected]
Antonio Graziano
Affiliation:
SELEX Sistemi Integrati s.p.a., via Tiburtina km 12 400, 00131 Roma, Italy. [email protected]
Francesca Mariani
Affiliation:
CERI – Centro di Ricerca “Previsione Prevenzione e Controllo dei Rischi Geologici", Università di Roma “La Sapienza", Piazza Umberto Pilozzi 9, 00038 Valmontone (RM), Italy. [email protected]
Francesco Zirilli
Affiliation:
CERI – Centro di Ricerca “Previsione Prevenzione e Controllo dei Rischi Geologici", Università di Roma “La Sapienza", Piazza Umberto Pilozzi 9, 00038 Valmontone (RM), Italy. [email protected]
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Abstract

A network of mobile cooperative sensors is considered. The followingproblems are studied:(1) the “optimal" deployment of the sensors on a given territory;(2) the detection of local anomalies in the noisy data measured by thesensors.In absence of an information fusion center in the network, from “local" interactions between sensors “global" solutions of these problems are found.

Type
Research Article
Copyright
© EDP Sciences, ROADEF, SMAI, 2011

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References

Aurenhammer, F., Voronoi Diagrams – A Survey of a Fundamental Geometric Data Structure. ACM Comp. Surv. 23 (1991) 345405. CrossRef
F.R. Chung, Spectral Graph Theory, American Mathematical Society, Providence, R. I., USA, CBMS 92 (1997).
M.H. DeGroot and M.J. Schervish, Probability and Statistics, Pearson Addison Wesley, New York (2002).
Herzel, S., Recchioni, M.C. and Zirilli, F., Quadratically Convergent Method, A for Linear Programming. Linear Algebra Appl. 152 (1991) 255289. CrossRef
J.A. Snyman, Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms, Springer, Cambridge, Massachusetts, USA (2005).