Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloSensor Selection and Precoding Strategies for Wireless Sensor Networks
Anno di pubblicazione2015
Formato
  • Elettronico
  • Cartaceo
Autore/iNordio A.; Tarable A.; Dabbene F.; Tempo R.
Affiliazioni autoriIEIIT-CNR, Torino, 10129, Italy
Autori CNR e affiliazioni
  • FABRIZIO DABBENE
  • ALESSANDRO NORDIO
  • ALBERTO TARABLE
  • ROBERTO TEMPO
Lingua/e
  • inglese
AbstractSensor selection has recently received a growing interest in the literature, motivated by the worldwide deployment of wireless sensor networks and by the increase in the number of available applications. In our framework, sensors take remote measurements of a quantity of interest and communicate their observations through a noisy, multiantenna wireless communication link. In this context, we propose a scheme for optimally selecting ? out of sensor nodes on the basis of the amount of information they convey to a common receiver/actuator. Moreover, a suitable linear precoder is employed and optimized at each transmitter with the aim of maximizing the mutual information between the observed variable and the signal received by the actuator. The sensor selection problem is known to be combinatorial, and several computable relaxations are available in the literature. In this paper, the optimality conditions are formally expressed in an information-theoretic context, and both semi-definite-programming relaxations and greedy schemes, leading to computable techniques for large values of ? and K, are presented. Moreover, specific results for the cases of high and low signal-to-noise ratio on the wireless channel are derived. Numerical simulations show that knowledge of the channel state at the transmitter may lead to an increase of the achievable mutual information and determine a different choice of sensors, thus pointing out that our approach significantly improves upon selection schemes that neglect the characteristics of the communication layer.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da4411
Pagine a4421
Pagine totali-
RivistaIEEE transactions on signal processing
Attiva dal 1991
Editore: Institute of Electrical and Electronics Engineers, - New York, NY
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 1053-587X
Titolo chiave: IEEE transactions on signal processing
Titolo proprio: IEEE transactions on signal processing
Titolo abbreviato: IEEE trans. signal process.
Titoli alternativi:
  • Institute of Electrical and Electronics Engineers transactions on signal processing
  • Transactions on signal processing
  • Signal processing
Numero volume della rivista63
Fascicolo della rivista16
DOI10.1109/TSP.2015.2439239
Verificato da referee-
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-84937205367)
Parole chiaveChannel precoding, convex relaxation, green networks, mutual information, sensor selection, wireless sensor networks
Link (URL, URI)http://www.scopus.com/inward/record.url?eid=2-s2.0-84937205367&partnerID=q2rCbXpz
Titolo parallelo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
Moduli CNR-
Progetti Europei-
Allegati