• DocumentCode
    3605729
  • Title

    Software-defined internet of things for smart urban sensing

  • Author

    Jiaqiang Liu ; Yong Li ; Min Chen ; Wenxia Dong ; Depeng Jin

  • Author_Institution
    Tsinghua Univ., Beijing, China
  • Volume
    53
  • Issue
    9
  • fYear
    2015
  • fDate
    9/1/2015 12:00:00 AM
  • Firstpage
    55
  • Lastpage
    63
  • Abstract
    With more people living in cities, urban sensing is urgently required to create a comfortable and convenient living environment. As Internet of Things (IoT) is the fundamental infrastructure to realize urban sensing, it should be flexible to support various application requirements and convenient management of infrastructure. Inspired by software-defined networking, which aims to make networks more flexible, the authors propose a software-defined IoT architecture for smart urban sensing. This architecture decouples urban sensing applications from the physical infrastructure. Centralized controllers are designed to manage physical devices and provide APIs of data acquisition, transmission, and processing services to develop urban sensing applications. With these properties, various applications can coexist on the shared infrastructure, and each application can request controllers to customize its data acquisition, transmission, and processing on-demand by generating specific configurations of physical devices. This article discusses the background, benefits, and design details of the proposed architecture as well as open problems and potential solutions to realize it, which opens a new research direction for IoT and urban sensing.
  • Keywords
    Internet of Things; centralised control; data acquisition; data communication; software defined networking; API; centralized controller; data acquisition; data processing service; data transmission; smart urban sensing; software defined Internet of Things; software-defined IoT architecture; software-defined networking; Computer architecture; Data acquisition; Data processing; Internet of things; Machine-to-machine communications; Market research; Servers; Software radio;
  • fLanguage
    English
  • Journal_Title
    Communications Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0163-6804
  • Type

    jour

  • DOI
    10.1109/MCOM.2015.7263373
  • Filename
    7263373