Abstract
Adoption of Internet of Things (IoT) technologies in the marine industry is accelerating and the applications result in a vast amount of data to be processed. By deploying edge computing, independent and autonomous decisions can be made by vessels and remote marine assets without relying on constant communication with servers on shore or in the cloud. This paper proposes a system architecture that enables condition monitoring of remote marine assets with higher performance, improved latency and reduced total cost of ownership.
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