Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloWireless Coexistence and Spectrum Sensing in Industrial Internet of Things: An Experimental Study
Anno di pubblicazione2015
FormatoElettronico
Autore/iJ. M. Winter, I. Muller, G. Soatti, S. Savazzi, M. Nicoli, L. B. Becker, J. C. Netto and C. E. Pereira
Affiliazioni autoriDepartment of Electrical Engineering, Federal University of Rio Grande do Sul, 90035-190 Porto Alegre, RS, Brazil Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, 20133 Milano, Italy National Research Council of Italy (C.N.R.), Institute of Electronics, Computer and Telecommunication Engineering (IEIIT), 20133 Milano, Italy Department of Automation Systems, Federal University of Santa Catarina, 88040-900 Florianopolis, SC, Brazil Institute of Informatics, Federal University of Rio Grande do Sul, 91501-970 Porto Alegre, RS, Brazil
Autori CNR e affiliazioni
  • STEFANO SAVAZZI
Lingua/e
  • inglese
AbstractThe adoption of dense wireless sensor networks in industrial plants is mandatorily paired with the development of methods and tools for connectivity prediction. These are needed to certify the quality (or reliability) of the network information flow in industrial scenarios which are typically characterized by harsh propagation conditions. Connectivity prediction must account for the possible coexistence of heterogeneous radio-access technologies, as part of the Industrial Internet of Things (IIoT) paradigm, and easily allow postlayout validation steps. The goal of this paper is to provide a practical evaluation of relevant coexistence problems that may occur between industrial networks employing standards such as WirelessHART IEC 62591, IEEE 802.15.4, and IEEE 802.11. A number of coexistence scenarios are experimentally tested using different radio platforms. For each case, experimental results are analyzed to assess tolerable interference levels and sensitivity thresholds for different configurations of channel overlapping. Finally, the problem of over-the-air spectrum sensing is investigated in real scenarios with heterogeneous industrial networks to enable a cognitive resource allocation that avoids intolerable interference conditions.
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RivistaInternational journal of distributed sensor networks
Attiva dal 2005 al 2009
Editore: Taylor and Francis, - Philadelphia, PA
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 1550-1329
Titolo chiave: International journal of distributed sensor networks
Titolo proprio: International journal of distributed sensor networks.
Numero volume della rivista2015
Fascicolo della rivista627083
DOI10.1155/2015/627083
Verificato da refereeSì: Internazionale
Stato della pubblicazionePreprint
Indicizzazione (in banche dati controllate)-
Parole chiaveIndustrial Wireless Networks, Unlicensed Spectrum Sharing, Autonomous Network Diagnostic, Distributed Spectrum Sensing
Link (URL, URI)http://www.hindawi.com/journals/ijdsn/2015/627083/
Titolo parallelo-
Data di accettazione01/08/2015
Note/Altre informazioni-
Strutture CNR
  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
Moduli CNR
  • ICT.P07.005.001 : Reti wireless integrate per accesso ad alta velocita'
Progetti Europei
Allegati

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Citazione bibliograficaJean M. Winter, Ivan Muller, Gloria Soatti, et al., "Wireless Coexistence and Spectrum Sensing in Industrial Internet of Things: An Experimental Study," International Journal of Distributed Sensor Networks, vol. 2015, Article ID 627083, 12 pages, 2015. doi:10.1155/2015/627083