With the pervasive diffusion of smartphones and ultra low-power wireless devices, the capability of implementing new objects with smart sensors which can directly share data on the internet is exponentially growing. This extraordinary data deluge poses new challenges to the research community such as storing/ retrieving in a fast and reliable way the information. In this paper we present Sensormind, a virtual sensor environment for Internet of Things providing scalable and flexible solutions to manage hundreds of smart objects and which can be easily customized by end-users.

Sensormind: Virtual sensing and complex event detection for internet of things / Brunelli, Davide; Gallo, Gianluca; Benini, Luca. - ELETTRONICO. - 409:(2017), pp. 75-83. [10.1007/978-3-319-47913-2_10]

Sensormind: Virtual sensing and complex event detection for internet of things

Brunelli, Davide;
2017-01-01

Abstract

With the pervasive diffusion of smartphones and ultra low-power wireless devices, the capability of implementing new objects with smart sensors which can directly share data on the internet is exponentially growing. This extraordinary data deluge poses new challenges to the research community such as storing/ retrieving in a fast and reliable way the information. In this paper we present Sensormind, a virtual sensor environment for Internet of Things providing scalable and flexible solutions to manage hundreds of smart objects and which can be easily customized by end-users.
2017
Lecture Notes in Electrical Engineering
Cham, Switzerland
Springer Verlag
978-3-319-47912-5
978-3-319-47913-2
978-3-319-47912-5
978-3-319-47913-2
Brunelli, Davide; Gallo, Gianluca; Benini, Luca
Sensormind: Virtual sensing and complex event detection for internet of things / Brunelli, Davide; Gallo, Gianluca; Benini, Luca. - ELETTRONICO. - 409:(2017), pp. 75-83. [10.1007/978-3-319-47913-2_10]
File in questo prodotto:
File Dimensione Formato  
APPLEPIES_2015_submission_13.pdf

Solo gestori archivio

Tipologia: Pre-print non referato (Non-refereed preprint)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 273.35 kB
Formato Adobe PDF
273.35 kB Adobe PDF   Visualizza/Apri

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: https://hdl.handle.net/11572/165981
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 3
  • OpenAlex ND
social impact