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Smart City Applications Built On Big Data Technologies And Secure Iot

Author

Listed:
  • Carmen Rotuna,

    (Anagrama, România)

  • Carmen Elena Cîrnu,

    (Anagrama, România)

  • Dragos Smada,

    (Anagrama, România)

  • Alexandru Gheorghi?ã

    (Anagrama, România)

Abstract

Smart city represents an emerging topic because efficient city management is beneficial for both government and private sector businesses. IoT envisions to connect billions of sensors to the Internet and expects to use them for efficient and effective resource management in Smart Cities. An organisation collects data analyses it and uses the results as an input for decision making processes. The paper provides an overview of the smart city concept relying on IoT and Big Data technologies, an overview on Smart City development in Romania and describes four Smart City national solutions. Their benefits are efficient resource utilization, increased quality of life, higher levels of transparency and openness towards citizens. A smart city uses digital technologies or information and communication technologies (ICT) to enhance quality and performance of urban services to make lives of citizens better. It becomes easier to navigate for visitors, and more serendipitous for locals. City officials and municipal governments are provided with a completely new way to connect with citizens and visitors and a city that is more connected to its people works and feels better.

Suggested Citation

  • Carmen Rotuna, & Carmen Elena Cîrnu, & Dragos Smada, & Alexandru Gheorghi?ã, 2017. "Smart City Applications Built On Big Data Technologies And Secure Iot," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 6(3), pages 1-9, august.
    • Handle: RePEc:scm:ecofrm:v:6:y:2017:i:3:p:9
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    File URL: http://ecoforumjournal.ro/index.php/eco/article/view/711/443
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    References listed on IDEAS

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    1. Fosso Wamba, Samuel & Akter, Shahriar & Edwards, Andrew & Chopin, Geoffrey & Gnanzou, Denis, 2015. "How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study," International Journal of Production Economics, Elsevier, vol. 165(C), pages 234-246.
    2. Ricardo Álvarez & Fábio Duarte & Alaa AlRadwan & Michelle Sit & Carlo Ratti, 2017. "Re-Imagining Streetlight Infrastructure as a Digital Urban Platform," Journal of Urban Technology, Taylor & Francis Journals, vol. 24(2), pages 51-64, April.
    3. Vito Albino & Umberto Berardi & Rosa Maria Dangelico, 2015. "Smart Cities: Definitions, Dimensions, Performance, and Initiatives," Journal of Urban Technology, Taylor & Francis Journals, vol. 22(1), pages 3-21, January.
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