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Enabling Real-Time Remote Monitoring of Ships by Lossless Protocol Transformations
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  • Giacomo Longo ,
  • Alessandro Orlich ,
  • Alessio Merlo ,
  • Enrico Russo
Giacomo Longo
University of Genova, University of Genova

Corresponding Author:[email protected]

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Alessandro Orlich
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Alessio Merlo
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Enrico Russo
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This paper uses data processing techniques to reduce the required transmission bandwidth in ship-to-shore communications.
The proposed framework (ONline Efficient Sources Transmission Optimizer - ONESTO) leverages state-of-the-art technologies and novel algorithms to optimize transmissions under structural (e.g., available bandwidth, fixed packet overhead) and user-defined (e.g., maximum latency) constraints, automatically.
In addition, ONESTO authenticates and encrypts the communication between the ship and the shore via inexpensive standard off-the-shelf components.
Initially, we present the abstract mathematical formulation of the problem, with its assumptions, goal function, constraints, and significant quantities.
Following, we introduce the architecture of a system capable of continuously estimating the problem characteristics and its optimal solution and applying its found parameters to real-time streaming data.
Finally, we evaluate the system performance with a Class B ship simulator on two realistic use cases, using a prototypical implementation.
Our experiments show excellent bandwidth reductions and a limited latency impact, thereby demonstrating the viability of the approach.
Jul 2023Published in IEEE Transactions on Intelligent Transportation Systems volume 24 issue 7 on pages 7285-7295. 10.1109/TITS.2023.3258365