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Big data and IoT-based applications in smart environments: A systematic review

Hajjaji, Yosra ; Boulila, Wadii ; Farah, Imed Riadh ; Romdhani, Imed ; Hussain, Amir

Computer science review, 2021-02, Vol.39, p.100318, Article 100318

Elsevier Inc

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  • Título:
    Big data and IoT-based applications in smart environments: A systematic review
  • Autor: Hajjaji, Yosra ; Boulila, Wadii ; Farah, Imed Riadh ; Romdhani, Imed ; Hussain, Amir
  • Assuntos: Big data ; Deep Learning ; Internet of Things (IoT) ; Smart environment applications ; Systematic review
  • É parte de: Computer science review, 2021-02, Vol.39, p.100318, Article 100318
  • Descrição: This paper reviews big data and Internet of Things (IoT)-based applications in smart environments. The aim is to identify key areas of application, current trends, data architectures, and ongoing challenges in these fields. To the best of our knowledge, this is a first systematic review of its kind, that reviews academic documents published in peer-reviewed venues from 2011 to 2019, based on a four-step selection process of identification, screening, eligibility, and inclusion for the selection process. In order to examine these documents, a systematic review was conducted and six main research questions were answered. The results indicate that the integration of big data and IoT technologies creates exciting opportunities for real-world smart environment applications for monitoring, protection, and improvement of natural resources. The fields that have been investigated in this survey include smart environment monitoring, smart farming/agriculture, smart metering, and smart disaster alerts. We conclude by summarizing the methods most commonly used in big data and IoT, which we posit to serve as a starting point for future multi-disciplinary research in smart cities and environments.
  • Editor: Elsevier Inc
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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