• DocumentCode
    614000
  • Title

    Wireless Networks Sensors and Social Streams

  • Author

    Namiot, Dmitry ; Sneps-Sneppe, Manfred

  • Author_Institution
    Fac. of Comput. Math & Cybern., Lomonosov Moscow State Univ., Lomonosov, Russia
  • fYear
    2013
  • fDate
    25-28 March 2013
  • Firstpage
    413
  • Lastpage
    418
  • Abstract
    The paper introduces a new approach for using wireless sensors on mobile phones for integrating data from social networks. We describe existing models for integrating sensors and social networks, as well as propose a new practical approach for social context-aware data discovery that uses mobile phone as proximity sensor. Our concept uses wireless networks sensors from mobile phones (Wi-Fi, Bluetooth) as presence sensor that can open (discover) access for some content published in the social networks. And an appropriate mobile service (context-aware browser client for social networks) can present that information to mobile subscribers. As the potential use-cases for the proposed approach we can mention all projects related to hyper-local news data. For example, proximity marketing, Smart City news, indoor information delivery, etc.
  • Keywords
    social networking (online); ubiquitous computing; wireless sensor networks; Bluetooth; Wi-Fi; context-aware browser client; indoor information delivery; mobile phone; proximity marketing; proximity sensor; smart city news; social context-aware data discovery; social network; social stream; wireless sensor network; Context; IEEE 802.11 Standards; Mobile communication; Mobile handsets; Sensors; Social network services; Wireless sensor networks; Bluetooth; Wi-Fi; context-ware computing; data mining; proximity; social networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications Workshops (WAINA), 2013 27th International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4673-6239-9
  • Electronic_ISBN
    978-0-7695-4952-1
  • Type

    conf

  • DOI
    10.1109/WAINA.2013.27
  • Filename
    6550431