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Proximity as a service

Authors: Dmitry Namiot; Manfred Sneps-Sneppe;

Proximity as a service

Abstract

This paper describes a new possible model for distributing hyper-local data across subscribers. This new model uses Wi-Fi proximity approach as a service. According to this concept, any exiting or even especially created Wi-Fi hot spot could be used as presence sensor that can trigger access for some user-generated information snippets. In this approach we can discover hyper local data as information snippets that are relevant for mobile subscribers being at this moment nearby some Wi-Fi access point. And an especially developed mobile application (context-aware browser) can present that information to mobile subscribers. As the possible use-cases for this application we can mention for example delivering commercial information in malls, distributing data in Smart City projects, sharing news feeds for office centers and campuses as well as for the personal classifieds and city games.

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Average
Top 10%
Top 10%
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