Enhancing Transportation Management in Marine Internet of Vessels: A 5G Broadcasting-Centric Framework Leveraging Federated Learning | IEEE Journals & Magazine | IEEE Xplore

Enhancing Transportation Management in Marine Internet of Vessels: A 5G Broadcasting-Centric Framework Leveraging Federated Learning


Abstract:

The Maritime Internet of Things (MIoT) consists of offshore equipment such as ships, consoles, and base stations, which are used for maritime information sharing to assis...Show More

Abstract:

The Maritime Internet of Things (MIoT) consists of offshore equipment such as ships, consoles, and base stations, which are used for maritime information sharing to assist driving decision-making. However, with the increase in the number of MIoT access devices, the risks of information security and data reliability have also significantly increased. In this paper, we describe a maritime Dynamic Ship Federated Information Security Sharing Model (DSF-ISS) in Maritime Internet of Vessels (MIoV) based on maritime 5G broadcasting technology. The main object of this study is to solve the problem of maritime information isolated island under the condition of low communication between maritime ship nodes. In this model, maritime ship nodes cooperation is based on the Contract Network Protocol (CNP), which considers task types, spatial, and temporal distribution of different vessels. We then propose an improved federated learning approach for local dynamic nodes based on maritime 5G broadcasting technology. Moreover, this study designs a proof of membership (PoM) to share local task model information in global blockchain. The results showed that DSF-ISS has a positive effect in maritime transportation work. It effectively realizes the secure sharing of information and protects the privacy of node data.
Published in: IEEE Transactions on Broadcasting ( Volume: 70, Issue: 3, September 2024)
Page(s): 1091 - 1103
Date of Publication: 22 May 2024

ISSN Information:

Funding Agency:


References

References is not available for this document.