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Annals of computer science and information systems
Article . 2020 . Peer-reviewed
Data sources: Crossref
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A Federated Platform to Support IoT Discovery in Smart Cities and HADR Scenarios

Authors: Campioni L.; Fontana N.; Morelli A.; Suri N.; Tortonesi M.;

A Federated Platform to Support IoT Discovery in Smart Cities and HADR Scenarios

Abstract

Smart Cities are among the most dynamic and rapidly evolving modern environments, driven by the development of new technologies and the fast growth of the Internet of Things (IoT), which enable the acquisition and processing of very large amounts of data. However, accessing IoT assets is proving to be a challenge, as neither formal nor de facto standards to discover connected Things have emerged. Services that provide discovery and access capability for IoT resources are in the rise, but they often adopt service-specific interfaces and authorization mechanisms that hinder the development and maintainability of IoT applications. Low flexibility and interoperability become especially problematic during emergency situations, when responders might need to access resources that normally would not be allowed to access. To address these issues, this paper describes MARGOT, a distributed edge computing platform that supports domain-aware and secure discovery of IoT resources in Smart Cities. Experimental results obtained using MARGOT in an emulated network environment show that our platform can effectively reduce discovery latency and bandwidth consumption under the considered use cases and network conditions.

Keywords

Electronic computers. Computer science, Distributed Information Systems, Humanitarian Assistance and Disaster Recovery (HADR), Internet of Things (IoT), Resource Discovery, Information technology, QA75.5-76.95, T58.5-58.64

  • 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).
    3
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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!
3
Average
Average
Average
Green
Published in a Diamond OA journal