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
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;
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
DOI :
10.1109/WAINA.2013.27