Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloNon-linear coding decoding strategies exploiting spatial correlation in wireless sensor networks
Anno di pubblicazione2012
  • Elettronico
  • Cartaceo
Autore/iDavoli F.; Marchese M.; Mongelli M.
Affiliazioni autoriDITEN, University of Genoa, CNIT - University of Genoa Research Unit, Via Opera Pia 13, 16145, Genova, Italy; National Research Council of Italy (CNR), IEIIT - Institute of Electronics, Computer Telecommunication Engineering, Via De Marini 6, 16149, Genova, Italy
Autori CNR e affiliazioni
  • inglese
AbstractThe authors consider the acquisition of measurements from a source, representing a physical phenomenon, by means of sensors deployed at different distances, measuring random variables (r.v.'s) that are correlated with the source output. The acquired values are transmitted over a wireless channel to a sink, where an estimation of the source has to be constructed, according to a given distortion criterion. In the presence of Gaussian random variables (r.v.'s) a Gaussian vector channel, the authors are seeking optimum real-time joint source-channel encoder-decoder pairs that achieve a distortion sufficiently close to the theoretically optimal one, under a global resource constraint, by activating only a subset of the sensors. The problem is posed in a team decision theoretic framework, the optimal strategies are approximated by means of neural networks. The analysis investigates the generalisation capabilities of the proposed approach, by showing insights into the structure of the problem. The surprising outcome is that a quasi-static application of the approach reveals to be sufficient to maintain quasi-optimal performance under a dynamic environment (e.g. with respect to nodes' positions). © 2012 The Institution of Engineering Technology.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da2198
Pagine a2207
Pagine totali-
RivistaIET communications (Print)
Attiva dal 2007
Editore: Institution of Engineering and Technology, - Stevenage
Paese di pubblicazione: Regno Unito
Lingua: inglese
ISSN: 1751-8628
Titolo chiave: IET communications (Print)
Titolo proprio: IET communications (Print). (Print)
Titolo alternativo: Institution of Engineering and Technology communications (Print)
Numero volume della rivista6
Fascicolo della rivista14
Verificato da refereeSì: Internazionale
Stato della pubblicazione-
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-84868656078)
Parole chiave-
Link (URL, URI)
Titolo parallelo-
Scadenza embargo-
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Strutture CNR
  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
Moduli/Attività/Sottoprogetti CNR
  • INT.P02.002.001 : Machine Learning for Biological Data
Progetti Europei-
Non-linear coding decoding strategies exploiting spatial correlation in wireless sensor networks (documento privato )
Tipo documento: application/pdf