A Cooperative Sensor Network: Optimal Deployment and Functioning

Alfonso Farina; Antonio Graziano; Francesca Mariani; Francesco Zirilli

RAIRO - Operations Research (2011)

  • Volume: 44, Issue: 4, page 379-388
  • ISSN: 0399-0559

Abstract

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A network of mobile cooperative sensors is considered. The following problems 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 the sensors. In absence of an information fusion center in the network, from “local" interactions between sensors “global" solutions of these problems are found.

How to cite

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Farina, Alfonso, et al. "A Cooperative Sensor Network: Optimal Deployment and Functioning." RAIRO - Operations Research 44.4 (2011): 379-388. <http://eudml.org/doc/44704>.

@article{Farina2011,
abstract = { A network of mobile cooperative sensors is considered. The following problems 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 the sensors. In absence of an information fusion center in the network, from “local" interactions between sensors “global" solutions of these problems are found. },
author = {Farina, Alfonso, Graziano, Antonio, Mariani, Francesca, Zirilli, Francesco},
journal = {RAIRO - Operations Research},
keywords = {Sensors network; Voronoi partition; statistical test; sensors network},
language = {eng},
month = {1},
number = {4},
pages = {379-388},
publisher = {EDP Sciences},
title = {A Cooperative Sensor Network: Optimal Deployment and Functioning},
url = {http://eudml.org/doc/44704},
volume = {44},
year = {2011},
}

TY - JOUR
AU - Farina, Alfonso
AU - Graziano, Antonio
AU - Mariani, Francesca
AU - Zirilli, Francesco
TI - A Cooperative Sensor Network: Optimal Deployment and Functioning
JO - RAIRO - Operations Research
DA - 2011/1//
PB - EDP Sciences
VL - 44
IS - 4
SP - 379
EP - 388
AB - A network of mobile cooperative sensors is considered. The following problems 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 the sensors. In absence of an information fusion center in the network, from “local" interactions between sensors “global" solutions of these problems are found.
LA - eng
KW - Sensors network; Voronoi partition; statistical test; sensors network
UR - http://eudml.org/doc/44704
ER -

References

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  1. F. Aurenhammer, Voronoi Diagrams – A Survey of a Fundamental Geometric Data Structure. ACM Comp. Surv.23 (1991) 345–405.  
  2. F.R. Chung, Spectral Graph Theory, American Mathematical Society, Providence, R. I., USA, CBMS 92 (1997).  
  3. M.H. DeGroot and M.J. Schervish, Probability and Statistics, Pearson Addison Wesley, New York (2002).  
  4. S. Herzel, M.C. Recchioni and F. Zirilli, A Quadratically Convergent Method for Linear Programming. Linear Algebra Appl.152 (1991) 255–289.  
  5. J.A. Snyman, Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms, Springer, Cambridge, Massachusetts, USA (2005).  

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