We consider the problem of determining, in a distributed and scalable manner, which nodes are neighbors in a wireless sensor network. We consider an un-supervised network operating on a frequency-flat Gaussian multipleaccess channel, shared by K + 1 nodes, transmitting synchronously and independently a set of known signal waveforms. A number of ND algorithms, relying on different optimization criteria, are introduced. A thorough statistical analysis for the proposed ND algorithms is presented, and the results demonstrate that a number of reduced complexity receivers exist achieving satisfactory performances.

Neighbor discovery in wireless networks: A multiuser-detection approach

LOPS, Marco
2010

Abstract

We consider the problem of determining, in a distributed and scalable manner, which nodes are neighbors in a wireless sensor network. We consider an un-supervised network operating on a frequency-flat Gaussian multipleaccess channel, shared by K + 1 nodes, transmitting synchronously and independently a set of known signal waveforms. A number of ND algorithms, relying on different optimization criteria, are introduced. A thorough statistical analysis for the proposed ND algorithms is presented, and the results demonstrate that a number of reduced complexity receivers exist achieving satisfactory performances.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11580/16333
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
social impact