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LoRa WAN Roaming for Intelligent Shipment Tracking

Flammini, Francesco, Senior Lecturer, 1978- (author)
Mälardalens högskola,Innovation och produktrealisering
Gaglione, A. (author)
Brit Insurance, London, United Kingdom
Tokody, D. (author)
Doctoral School on Safety and Security Science, Obuda University, Budapest, Hungary
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Dohrilovic, D. (author)
Zrenjanin University of Novi Sad, Technical Faculty Mihajlo Pupin, Zrenjanin, Serbia
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 (creator_code:org_t)
Institute of Electrical and Electronics Engineers Inc. 2020
2020
English.
In: 2020 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2020. - : Institute of Electrical and Electronics Engineers Inc.. - 9781728184203
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Intelligent transport systems will be increasingly adopting the Internet of Things as a key enabling technology. LoRa WAntechnology is one of the most popular long-range wireless technologies with a huge potential in applications such as intelligent shipment tracking. This paper addresses the problem of roaming between multiple cooperative shipping companies and their LoRaWAN networks. The proposed roaming improvement is currently in the testing phase. This paper provides an overview of how to expand LoRa WAnroaming with the support of Artificial Intelligence for providing additional services.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)

Keyword

LoRa WAn
machine learning
roaming
tracking
Intelligent systems
Internet of things
Enabling technologies
Intelligent transport systems
Shipping companies
Testing phase
Wireless technologies
Ships

Publication and Content Type

ref (subject category)
kon (subject category)

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Gaglione, A.
Tokody, D.
Dohrilovic, D.
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