Network Proximity for Content Discovery

Dr. Yousef Ibrahim Daradkeh, Dmitry Namiot


The paper describes our approach for using wireless sensors on mobile phones for delivering new data to mobile subscribers. We propose a new practical approach for social context-aware data retrieval based on mobile phones as a sensor concept. This approach uses Wi-Fi and Bluetooth modules located on mobile phones as sensors for getting proximity information that can open (discover) access to any user generated content or content published in the social networks. A special mobile service (context-aware browser client for Android) can present that information to mobile subscribers. The potential use-cases for the proposed approach include all projects associated with hyper-local news data. For example, news services in Smart City projects, proximity marketing, indoor data delivery, etc.


context-aware computing; Bluetooth; Wi-Fi; proximity; social networks; data mining.

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International Journal of Interactive Mobile Technologies (iJIM) – eISSN: 1865-7923
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