• DocumentCode
    77467
  • Title

    Urban Sensor Data Streams: London 2013

  • Author

    Boyle, David E. ; Yates, David C. ; Yeatman, Eric M.

  • Author_Institution
    Imperial Coll. London, London, UK
  • Volume
    17
  • Issue
    6
  • fYear
    2013
  • fDate
    Nov.-Dec. 2013
  • Firstpage
    12
  • Lastpage
    20
  • Abstract
    It is posited that, through the integration of data services in cities can be transformed. In particular, it is thought that pervasive and ubiquitous networked embedded sensing systems can contribute to this transformation. This can be achieved through the exploitation of resultant sensor data stream. In order to effectively consider this hypothesis, it is necessary to investigate and understand the current art of pervasive and ubiquitous sensing in the city, and the resultant data streams. We provide an objective summary review of the urban sensing landscape, across multiple services and sectors. The scope of the review is limited to the city of London, which is often regarded as one of the most technologically advanced and digitized cities in the World. We catalogue the technological, spatiotemporal and representational characteristics of these open real-world sensor data streams, and how they came to existence.
  • Keywords
    data integration; embedded systems; home automation; intelligent sensors; sensor fusion; spatiotemporal phenomena; town and country planning; ubiquitous computing; city digitisation; data integration; pervasive networked embedded sensing system; representational characteristics; spatiotemporal characteristics; technological characteristics; urban sensing landscape; urban sensor data stream; Cities and towns; Geophysical measurement techniques; Ground penetrating radar; Internet; Real-time systems; Sensors; Smart buildings; Urban areas; Educational institutions; Geophysical measurement techniques; Ground penetrating radar; Internet; Nickel;
  • fLanguage
    English
  • Journal_Title
    Internet Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7801
  • Type

    jour

  • DOI
    10.1109/MIC.2013.85
  • Filename
    6576751