Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloA cloud-IoT platform for passive radio sensing: challenges and application case studies
Anno di pubblicazione2018
FormatoElettronico
Autore/iSanaz Kianoush, Muneeba Raja, Stefano Savazzi, Stephan Sigg
Affiliazioni autoriIEIIT-CNR, Aalto University, IEIIT-CNR, Aalto University,
Autori CNR e affiliazioni
  • SANAZ KIANOUSH
  • STEFANO SAVAZZI
Lingua/e
  • inglese
AbstractWe propose a platform for the integration of passive radio sensing and vision technologies into a cloud-IoT framework that performs real-time channel quality information (CQI) time series processing and analytics. Radio sensing and vision technologies allow to passively detect and track objects or persons by using radio waves as probe signals that encode a 2D/3D view of the environment they propagate through. View reconstruction from the received radio signals, or CQI, is based on real-time data processing tools, that combine multiple radio measurements from possibly heterogeneous IoT networks. The proposed platform is designed to efficiently store and analyze CQI time series of different types and provides formal semantics for CQI data manipulation (ontology models). Post-processed data can be then accessible to third parties via JSON-REST calls. Finally, the proposed system supports the reconfiguration of CQI data collection based on the respective application. The performance of the proposed tools are evaluated through two experimental case studies that focus on assisted living applications in a smart-space environment and on driver behavior recognition for in-car control services. Both studies adopt and compare different CQI manipulation models and radio devices as supported by current and future (5G) standards.
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RivistaIEEE Internet of Things Journal
Attiva dal 2014
Editore: Institute of Electrical and Electronics Engineers - New York, NY
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 2327-4662
Titolo chiave: IEEE Internet of Things Journal
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DOI10.1109/JIOT.2018.2834530
Verificato da referee-
Stato della pubblicazionePublished version
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Parole chiavePassive radio sensing, cloud-assisted Internet of Things, real-time data analysis, semantic data models.
Link (URL, URI)https://ieeexplore.ieee.org/document/8356744/
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Strutture CNR
  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
Moduli CNR
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    • A cloud-IoT platform for passive radio sensing: challenges and application case studies
      Descrizione: We propose a platform for the integration of passive radio sensing and vision technologies into a cloud-IoT framework that performs real-time channel quality information (CQI) time series processing and analytics