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Internet Technology Letters
Article . 2018 . Peer-reviewed
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Article . 2018
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Internet of things and virtual sensors for electromobility

Authors: Michele Roccotelli; Massimiliano Nolich; Maria Pia Fanti; Walter Ukovich;

Internet of things and virtual sensors for electromobility

Abstract

In the era of the Internet of things, billion of smart objects are going to be connected, with the needs of producing and storing big amount of data. In this context, there are many drawbacks to overcome related to data storage, processing power and connection capabilities of physical devices. This paper focuses on the specification of virtual sensors (VSs) as abstraction of real sensors, reproducing their logical behavior and enriching their functionalities within the cloud platform. The use of VSs is presented with the goal of proposing innovative services for stakeholders in the electromobility framework. To this purpose, a methodology to describe and implement VSs is presented based on Unified Modeling Language diagrams and a useful VS is designed for electromobility enhancement, that is, charge price prediction VS.

Country
Italy
Keywords

Cloud computing; electromobility; Internet of things; Unified Modeling Language; virtual sensor

  • BIP!
    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).
    20
    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 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
20
Top 10%
Top 10%
Top 10%
bronze