Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloConsensus-Based Algorithms for Distributed Network-State Estimation and Localization
Anno di pubblicazione2017
Formato-
Autore/iSoatti, G. and Nicoli, M. and Savazzi, S. and Spagnolini, U.
Affiliazioni autoriPolitecnico di Milano, CNR-IEIIT
Autori CNR e affiliazioni
  • STEFANO SAVAZZI
Lingua/e
  • inglese
AbstractRecent advances of hardware design and radio technologies have opened the way for an emerging category of network-enabled smart physical devices as a result of convergence in computing and wireless communication capabilities. Inspired by biological interactions, distributed processing of data collected by individual devices is now becoming crucial to let the nodes self-learn relevant network-state information and self-organize without the support of a central unit. Focus of this paper is twofold. First, a novel network channel model tailored for dense deployments is developed and validated on real data. The model describes relevant channel features that are representative of site-specific static/dynamic multipath fading and are shared by all links of a network. Second, a new class of distributed weighted-consensus strategies is introduced to support distributed network calibration and localization in device-to-device networks. Network calibration allows the devices to self-learn the common channel parameters by successive refinements of local estimates and peer-to-peer information exchange. Network-localization enables each node to acquire augmented information about the whole network topology by distributed learning from local channel observations. The proposed distributed algorithms guarantee a fast convergence and can replace conventional centralized schemes. An experimental case study is discussed in a representative indoor environment for the purpose of system validation. Experimental results show that the proposed method can significantly improve the performance of conventional solutions.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da430
Pagine a444
Pagine totali-
RivistaIEEE transactions on signal and information processing over networks
Attiva dal 2015
Editore: Institute of Electrical and Electronics Engineers - Piscataway
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 2373-776X
Titolo chiave: IEEE transactions on signal and information processing over networks
Titolo proprio: IEEE transactions on signal and information processing over networks
Titolo abbreviato: IEEE trans. signal inf. process. netw.
Numero volume della rivista3
Fascicolo della rivista2
DOI10.1109/TSIPN.2016.2626141
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-85032433910)
Parole chiavedistributed consensus, internet of things, distributed signal processing
Link (URL, URI)https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032433910&doi=10.1109%2fTSIPN.2016.2626141&partnerID=40&md5=5aacb6e6004a1797170076a701f3720d
Titolo parallelo-
Data di accettazione-
Note/Altre informazionicited By 14
Strutture CNR
  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
Moduli/Attività/Sottoprogetti CNR-
Progetti Europei-
Allegati
Consensus-Based Algorithms for Distributed Network-State Estimation and Localization (documento privato )
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