Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloDriving Factors Toward Accurate Mobile Opportunistic Sensing in Urban Environments
Anno di pubblicazione2016
Formato
  • Elettronico
  • Cartaceo
Autore/iM. Fiore; A. Nordio; C.-F. Chiasserini
Affiliazioni autoriM.Fiore: CNR-IEIIT, 10129 Torino, Italy A.Nordio: CNR-IEIIT, 10129 Torino, Italy C.-F.Chiasserini: DET, Politecnico di Torino, 10129 Torino, Italy
Autori CNR e affiliazioni
  • CARLA FABIANA CHIASSERINI
  • ALESSANDRO NORDIO
  • MARCO FIORE
Lingua/e
  • inglese
AbstractThe dramatic increase in the number and sensing capabilities of mobile devices is fostering opportunistic sensing as a paramount data collection paradigm in smart cities. According to this paradigm, sensing of large-scale phenomena is autonomously performed by mobile devices that provide irregular samples in time and space. The collected data is then transferred to a central controller, and processed so as to obtain a representation of the phenomenon. In this paper, we investigate the factors that impact the accuracy of mobile opportunistic sensing. Specifically, we characterize the accuracy of a phenomenon representation obtained from samples collected by mobile devices and processed through the popular LMMSE filter. We do so by drawing on random matrix theory, which allows us to deal with irregularly spaced samples. Our analytical expressions capture the fundamental relationships existing between the accuracy and the parameters of mobile opportunistic sensing. We apply our analytical results to a realistic scenario where atmospheric pollution samples are collected by vehicular and pedestrian users. We validate the proposed analytical framework, and then exploit the model to investigate the impact on mobile sensing accuracy of a number of parameters. These include the pedestrian and vehicle density, the participation ratio to the sensing application, the type of phenomenon to be sensed, and the level of noise and position errors affecting the collected samples.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da2840
Pagine a2493
Pagine totali14
RivistaIEEE transactions on mobile computing
Attiva dal 2002
Editore: IEEE Computer Society, - Los Alamitos, CA
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 1536-1233
Titolo chiave: IEEE transactions on mobile computing
Titolo proprio: IEEE transactions on mobile computing.
Titolo abbreviato: IEEE trans. mob. comput.
Titolo alternativo: Mobile computing
Numero volume della rivista15
Fascicolo della rivista10
DOI10.1109/TMC.2015.2499197
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)-
Parole chiaveAccuracy, Covariance matrices, Mobile communication, Mobile computing, Mobile handsets, Random variables, Sensors
Link (URL, URI)-
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