Network Proximity for Content Discovery

Authors

  • Dr. Yousef Ibrahim Daradkeh College of Engineering at Wadi Aldawaser Prince Sattam bin Abdulaziz University, KSA
  • Dmitry Namiot

DOI:

https://doi.org/10.3991/ijim.v9i4.4657

Keywords:

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

Abstract


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.

Author Biography

Dr. Yousef Ibrahim Daradkeh, College of Engineering at Wadi Aldawaser Prince Sattam bin Abdulaziz University, KSA

Dr.Yousef Daradkeh is Lecture in the Department of Computer Information Systems at the faculty of Information Technology and Systems, the Jordan of University (JU), and has worked of the Intelligent Software Systems Laboratory in the University of Calgary (UC), Canada, in 2007-2009. He has worked as a Post-Doctoral Research Fellow in the Department of Electrical and Computer Engineering.

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Published

2015-09-25

How to Cite

Daradkeh, D. Y. I., & Namiot, D. (2015). Network Proximity for Content Discovery. International Journal of Interactive Mobile Technologies (iJIM), 9(4), pp. 42–48. https://doi.org/10.3991/ijim.v9i4.4657

Issue

Vol. 9 No. 4 (2015)

Section

Papers