• DocumentCode
    175133
  • Title

    Visions and Challenges for Sensor Network Collaboration in the Cloud

  • Author

    Oechsner, Simon ; Bellalta, Boris ; Dimitrova, Desislava ; Hossfeld, Tobias

  • Author_Institution
    Dept. of Inf. & Commun. Technol., Univ. Pompeu Fabra, Barcelona, Spain
  • fYear
    2014
  • fDate
    2-4 July 2014
  • Firstpage
    16
  • Lastpage
    22
  • Abstract
    The rapid growth in sensor network coverage, aided by the use of smartphones as capable sensing devices, leads to an enormous amount of gathered data from a multitude of different sources. However, generally data from one specific sensor network is only used by a very limited set of users and applications. This wastes a potentially greater usefulness for other, related data sinks that could use this additional input to improve their performance or services. In this paper, we outline visions and challenges for a widespread application of sensor network collaboration in the sense of sharing and exchanging information. We also describe a basic cloud-based architecture enabling this collaboration by providing the required support to store, manage and combine the gathered data. In particular, we include collaboration between sensor networks themselves to optimize performance, a facet that was up to now neglected in literature.
  • Keywords
    cloud computing; groupware; smart phones; wireless sensor networks; cloud-based architecture; data management; data storage; sensor network collaboration; smartphones; Cities and towns; Collaboration; Computer architecture; Monitoring; Taxonomy; Temperature measurement; Temperature sensors; Wireless sensor networks; sensor network collaboration; sensor network optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2014 Eighth International Conference on
  • Conference_Location
    Birmingham
  • Print_ISBN
    978-1-4799-4333-3
  • Type

    conf

  • DOI
    10.1109/IMIS.2014.3
  • Filename
    6975435