Integration of IoT Technologies in the Maritime Industry

Plaza-Hernández, Marta; González, Ana Belén Gil; González, Sara Rodríguez; Prieto, Javier; Corchado-Rodríguez, Juan Manuel

doi:10.1007/978-3-030-53829-3_10

Cited by 42 publications

(33 citation statements)

References 7 publications

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“…In addition, since fuel represent about 55 percent of total ship operating costs, smart sensors and monitoring equipment on-board can track ship's performance and report back to the headquarters on shore, which in turn can support the ship master and chief engineer with guidance when planning the most fuel-efficient route. Finally, identifying optimal speed, current and upcoming weather conditions and engine configuration will potentially save significant amounts of fuel, while minimizing CO2 emissions [28].…”

Section: Maritime Industrymentioning

confidence: 99%

IoT: Communication Protocols and Security Threats

Gerodimos¹,

Μαγλαράς²,

Kantzavelou³

et al. 2022

Preprint

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The IoT is recognized as one of the most important areas of future technology and is gaining vast attention from a wide range of industries. Although, after 20 years from the first published literature (2002) the technology (as a whole) is not yet mature. In this study we will review the basics of IoT with a general approach, by addressing the problems of a standard architecture, vulnerabilities and use cases of this promising technology. Moreover, we will review some of the communication protocols that have invented especially for IoT technology, security threats and general implementation challenges.

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Section: Maritime Industrymentioning

confidence: 99%

IoT: Communication Protocols and Security Threats

Gerodimos¹,

Μαγλαράς²,

Kantzavelou³

et al. 2022

Preprint

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“…Indeed, as highlighted in the investigation performed by Ivankova et al [ 14 ], different works are proposed in the literature with the aim of highlighting the positive effects of IoT in logistics. Various proposals, in fact, can be identified in the literature proposing frameworks [ 15 ] and management systems [ 16 , 17 , 18 ] to enhance logistics through IoT, for instance, in the maritime industry [ 19 ] or the garbage industry [ 20 , 21 ].…”

Section: State Of the Artmentioning

confidence: 99%

A Smart and Secure Logistics System Based on IoT and Cloud Technologies

Sergi

Montanaro

Benvenuto³

et al. 2021

Sensors

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Recently, one of the hottest topics in the logistics sector has been the traceability of goods and the monitoring of their condition during transportation. Perishable goods, such as fresh goods, have specifically attracted attention of the researchers that have already proposed different solutions to guarantee quality and freshness of food through the whole cold chain. In this regard, the use of Internet of Things (IoT)-enabling technologies and its specific branch called edge computing is bringing different enhancements thereby achieving easy remote and real-time monitoring of transported goods. Due to the fast changes of the requirements and the difficulties that researchers can encounter in proposing new solutions, the fast prototype approach could contribute to rapidly enhance both the research and the commercial sector. In order to make easy the fast prototyping of solutions, different platforms and tools have been proposed in the last years, however it is difficult to guarantee end-to-end security at all the levels through such platforms. For this reason, based on the experiments reported in literature and aiming at providing support for fast-prototyping, end-to-end security in the logistics sector, the current work presents a solution that demonstrates how the advantages offered by the Azure Sphere platform, a dedicated hardware (i.e., microcontroller unit, the MT3620) device and Azure Sphere Security Service can be used to realize a fast prototype to trace fresh food conditions through its transportation. The proposed solution guarantees end-to-end security and can be exploited by future similar works also in other sectors.

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“…The authors describe the challenges occurring in the specific maritime environment and propose possible approaches to tackle them. Similarly, in [24] the authors describe how IoT technologies can be adopted in the naval industry, e.g., to facilitate services such as predictive maintenance, vessel tracking, and safety. Authors in [25] recognise the importance of ensuring the Quality of Services (QoS), safety, and security for sensor data and control data communications.…”

Section: B Communication Technologiesmentioning

confidence: 99%

An Outlook on the Future Marine Traffic Management System for Autonomous Ships

Martelli¹,

Virdis

Gotta

et al. 2021

IEEE Access

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In the shipping digitalisation process, the peak will be reached with the advent of a wholly autonomous and at the same time safe and reliable ship. Full autonomy could be obtained by two linked Artificial-Intelligence systems representing the ship navigator and the ship engineer that possess sensing and analysis skills, situational awareness, planning, and control capabilities. Many efforts have been made in developing onboard systems; however, the shore facilities are not ready yet to deal with these new technologies. The paper aims to present the innovative technologies and methodologies needed to develop a futuristic Vessel Traffic System. The proposed systems will aim at faultless data acquisition and processing, provide input to decision-making systems, and suggest evasive manoeuvre; to deal with hazards and systems failure without human intervention onboard. The system is composed of three different and interacting layers. The first is an artificially intelligent tool to detect and control autonomous ships, thanks to situation recognition and obstacle avoidance strategies. The second is an orchestration and management platform designed to coordinate the sensing/actuation infrastructure and the AI algorithms' results made available by multiple ships, mustering edge, and distributed computing techniques to fulfil the specific harsh requirements of the sea environment. The final part is a holistic guidance-navigation-control framework to manage autonomous ships' navigation in a crowded area. Eventually, a cyber-physical scenario, using both a ship digital-twin and a real model-scale ship, is suggested to test and validate the innovative system without the availability of a full-scale scenario.

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Integration of IoT Technologies in the Maritime Industry

Cited by 42 publications

References 7 publications

IoT: Communication Protocols and Security Threats

IoT: Communication Protocols and Security Threats

A Smart and Secure Logistics System Based on IoT and Cloud Technologies

An Outlook on the Future Marine Traffic Management System for Autonomous Ships

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