Network proximity for content discovery

Research output: Contribution to journalArticlepeer-review

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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.

Original languageEnglish
Pages (from-to)42-48
Number of pages7
JournalInternational Journal of Interactive Mobile Technologies
Volume9
Issue number4
DOIs
StatePublished - 2015

Keywords

  • Bluetooth
  • Context-aware computing
  • Data mining
  • Proximity
  • Social networks
  • Wi-Fi

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