A Web Service-Based Framework Model for People-Centric Sensing Applications Applied to Social Networking

نویسندگان

  • David Nunes
  • Thanh-Dien Tran
  • Duarte Raposo
  • André Pinto
  • André Gomes
  • Jorge Sá Silva
چکیده

As the Internet evolved, social networks (such as Facebook) have bloomed and brought together an astonishing number of users. Mashing up mobile phones and sensors with these social environments enables the creation of people-centric sensing systems which have great potential for expanding our current social networking usage. However, such systems also have many associated technical challenges, such as privacy concerns, activity detection mechanisms or intermittent connectivity, as well as limitations due to the heterogeneity of sensor nodes and networks. Considering the openness of the Web 2.0, good technical solutions for these cases consist of frameworks that expose sensing data and functionalities as common Web-Services. This paper presents our RESTful Web Service-based model for people-centric sensing frameworks, which uses sensors and mobile phones to detect users' activities and locations, sharing this information amongst the user's friends within a social networking site. We also present some screenshot results of our experimental prototype.

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عنوان ژورنال:

دوره 12  شماره 

صفحات  -

تاریخ انتشار 2012