About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Interoperability, Safety and Security in IoT. Third International Conference, InterIoT 2017, and Fourth International Conference, SaSeIot 2017, Valencia, Spain, November 6-7, 2017, Proceedings

Research Article

A Bayesian Approach for an Efficient Data Reduction in IoT

Download(Requires a free EAI acccount)
355 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-319-93797-7_1,
        author={Cristanel Razafimandimby and Valeria Loscr\^{\i} and Anna Vegni and Driss Aourir and Alessandro Neri},
        title={A Bayesian Approach for an Efficient Data Reduction in IoT},
        proceedings={Interoperability, Safety and Security in IoT. Third International Conference, InterIoT 2017, and Fourth International Conference, SaSeIot 2017, Valencia, Spain, November 6-7, 2017, Proceedings},
        proceedings_a={INTERIOT \& SASEIOT},
        year={2018},
        month={7},
        keywords={Markov random fields IoT Belief propagation Bayesian Smart node},
        doi={10.1007/978-3-319-93797-7_1}
    }
    
  • Cristanel Razafimandimby
    Valeria Loscrí
    Anna Vegni
    Driss Aourir
    Alessandro Neri
    Year: 2018
    A Bayesian Approach for an Efficient Data Reduction in IoT
    INTERIOT & SASEIOT
    Springer
    DOI: 10.1007/978-3-319-93797-7_1
Cristanel Razafimandimby1,*, Valeria Loscrí1,*, Anna Vegni2,*, Driss Aourir1,*, Alessandro Neri2,*
  • 1: Inria Lille - Nord Europe
  • 2: Roma Tre University COMLAB Telecommunication Laboratory
*Contact email: jean.razafimandimby_anjalalaina@inria.fr, valeria.loscri@inria.fr, annamaria.vegni@uniroma3.it, driss.aourir@inria.fr, alessandro.neri@uniroma3.it

Abstract

Todays, Internet of Things (IoT) is starting to occupy a major place in our everyday lives. It has already achieved a huge success in several sectors and continues to bring us a range of new capabilities and services. However, despite the apparent success, one of issues which must be tackle is the big quantity of data produced and transmitted by the objects. Transmitting these big quantity of data not only increases the energy consumption of objects but can also cause network congestion.

Keywords
Markov random fields IoT Belief propagation Bayesian Smart node
Published
2018-07-26
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-319-93797-7_1
Copyright © 2017–2025 EAI
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL