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Ubiquity
Article
Data sources: UnpayWall
DBLP
Article . 2015
Data sources: DBLP
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Discovery in the Internet of Things

The Internet of Things (Ubiquity symposium)
Authors: Arkady B. Zaslavsky; Prem Prakash Jayaraman;

Discovery in the Internet of Things

Abstract

How to find a "thing" in the Internet of Things (IoT) haystack? The answer to this question will be the key challenge that IoT users and developers are facing now and will face in the future. Current models for IoT are focused heavily on developing vertical solutions limited by hardware and software platforms and support. With the estimated explosion of IoT in the coming years as predicted by Cisco, IBM and Gartner, there is a need to rethink how IoT can deliver value to the end-user. A paradigm shift is required in the underlying fundamentals of current IoT developments to enable a wider notion of "thing" discovery as well as discovery of relevant data and context on the IoT. Discovery will allow users to build IoT apps, services and applications using "smart things" without the need for a priori knowledge of things. In this article, we look at the current state of IoT and argue for paradigm shift addressing why and how discovery can make a significant impact for the future of IoT and moreover, become a necessary component for IoT success story.

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    Impact byBIP!
    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).
    31
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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!
31
Top 10%
Top 1%
Top 10%
Published in a Diamond OA journal