Experimental Evaluation of an IoT-Based Platform for Maritime Transport Services

Author:

Noto Sandro1,Gharbaoui Molka2ORCID,Falcitelli Mariano1ORCID,Martini Barbara13,Castoldi Piero2ORCID,Pagano Paolo1ORCID

Affiliation:

1. Photonic Networks & Technologies National Laboratory, CNIT, 56124 Pisa, Italy

2. The Telecommunications, Computer Engineering, and Photonics Institute, Scuola Superiore Sant’Anna, 56124 Pisa, Italy

3. Software Engineering, Universitas Mercatorum, 00186 Rome, Italy

Abstract

In recent years, the adoption of innovative technologies in maritime transport and logistics systems has become a key aspect towards their development and growth, especially due to the complex and heterogeneous nature of the maritime environment. On the other hand, Internet of Things (IoT) solutions are gaining importance in the shipping industry thanks to the huge number of distributed cameras and sensors in modern ships, cargoes and sea ports, which can be exploited to improve safety, costs and productivity. This paper presents an experimental evaluation of a maritime platform, which enables a wide range of 5G-based services in the context of logistics and maritime transportation. Its core is a Narrow Band (NB)-IoT framework used to run massive IoT services on top of a hybrid terrestrial–satellite network and feed a OneM2M platform with significant data on maritime transport to develop high-level and value-added logistic applications on top. Among the many different services that could be provided by the maritime platform, we focus on the cargo-ship container tracking use case through the Global Tracking System, which allows for continuous container monitoring all over the seas in a port-to-port service scenario. The results of the experimental tests illustrate the capacity of the platform in managing the high number of messages transmitted by the container tracking devices (i.e., more than 3000) and its efficiency in limiting the average maximum latency and packet loss below 5.5 s and 0.9%, respectively.

Funder

European Space Agency

Publisher

MDPI AG

Subject

Artificial Intelligence,Applied Mathematics,Industrial and Manufacturing Engineering,Human-Computer Interaction,Information Systems,Control and Systems Engineering

Reference30 articles.

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