Connectivity Manager: Ensuring Robust Connections for Autonomous Ships

Marko Höyhtyä (Corresponding author)

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

Abstract

An autonomous ship is connected to other ships, services, and the remote operations center (ROC) using multiple different radio technologies. The complex set of technologies, needs, and services demands intelligent management for the communications system. The connectivity manager is an intelligent entity ensuring robust connections for the ship in any environment. This paper describes the architecture and functionalities of the connectivity management required for an autonomous ship to be able to operate globally. Spectrum sharing, quality of service (QoS) measurements, prioritization, and regulations are covered in the paper. Finally, a short overview of how to use ship simulators in the connectivity research with the idea of digital twins is given.

Original languageEnglish
Title of host publication2019 2nd International Conference on Intelligent Autonomous Systems
Subtitle of host publicationICoIAS 2019
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages86-90
ISBN (Electronic)978-1-7281-2662-3
ISBN (Print)978-1-7281-2663-0
DOIs
Publication statusPublished - Feb 2019
MoE publication typeA4 Article in a conference publication
Event2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019 - Singapore, Singapore
Duration: 28 Feb 20192 Mar 2019

Conference

Conference2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019
Abbreviated titleICoIAS 2019
CountrySingapore
CitySingapore
Period28/02/192/03/19

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Keywords

  • 5G systems
  • network management
  • unmanned ships

Cite this

Höyhtyä, M. (2019). Connectivity Manager: Ensuring Robust Connections for Autonomous Ships. In 2019 2nd International Conference on Intelligent Autonomous Systems: ICoIAS 2019 (pp. 86-90). [8782472] IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/ICoIAS.2019.00022