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Survey on Communication and Networks for Autonomous Marine Systems

Survey on Communication and Networks for Autonomous Marine Systems

Kategori
Tidsskriftspublikasjon
Sammendrag
The rapid development of autonomous systems and Information and Communications Technologies (ICT) create new opportunities for maritime activities. Existing autonomous systems are becoming more powerful and utilise the capabilities of several types of devices such as Autonomous Underwater Vehicles (AUVs), Unmanned Surface Vehicles (USVs) sometimes referred as Autonomous Surface Vehicles (ASVs) Unmanned Aerial Vehicles (UAVs), moored and drifting systems and, recently emerging, autonomous vessels. Their importance in providing new services in maritime environments is undeniable and the opportunity for coordinated and interconnected operations is clear. However, continuous wide integration of various technologies in maritime environments still faces many challenges. Operations may take place in remote locations, so that dependence on third-party infrastructures such as satellite communication or terrestrial communication systems must be expected. The reliability, performance, availability, and cost of such systems are important issues that need to be tackled. This work reviews the major advancements on state-of-the-art autonomous maritime vehicles and systems, which are used in several different scenarios, from scientific Research to transportation. Moreover, the paper highlights how available technologies can be composed in order to efficiently and effectively operate in maritime environments. Highlights of the trade-off between autonomy and communication requirements are provided and followed by an overview of promising communication and networking technologies that could encourage the integration of autonomous systems in maritime scenarios.
Oppdragsgiver
  • Norges forskningsråd / 269480
  • EC/H2020 / 699924
  • Norges forskningsråd / 223254
Språk
Engelsk
Forfatter(e)
  • Zolich Artur Piotr
  • Palma David
  • Kansanen Kimmo
  • Fjørtoft Kay Endre
  • Sousa João
  • Johansson Karl Henrik
  • Jiang Yuming
  • Dong Hefeng
  • Johansen Tor Arne
Institusjon(er)
  • Norges teknisk-naturvitenskapelige universitet
  • Norges teknisk-naturvitenskapelige universitet
  • Norges teknisk-naturvitenskapelige universitet
  • SINTEF Ocean / Energi og transport
  • Universidade do Porto
  • Kungliga Tekniska högskolan
År
2018
Publisert i
Journal of Intelligent and Robotic Systems
ISSN
0921-0296
Side(r)
1 - 25