Survey: An Overview of Lightweight RFID Authentication Protocols Suitable for the Maritime Internet of Things

Mudra, Glen; Cui, Hui; Johnstone, Michael N.

doi:10.3390/electronics12132990

Cited by 5 publications

(2 citation statements)

References 62 publications

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“…Today, IoT is integral to 'smart shipping'-a concept where vessels are equipped with myriad sensors and devices that monitor various parameters, from engine performance and fuel consumption to weather conditions and crew health. This data is processed and analyzed to optimize operations, enhance safety, improve efficiency, and reduce environmental impact [23,25,[44][45][46].…”

Section: Evolution and Growth Of Iot In The Maritime Industrymentioning

confidence: 99%

Navigating the Sea of Data: A Comprehensive Review on Data Analysis in Maritime IoT Applications

Durlik,

Miller,

Cembrowska-Lech

et al. 2023

Applied Sciences

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The Internet of Things (IoT) is significantly transforming the maritime industry, enabling the generation of vast amounts of data that can drive operational efficiency, safety, and sustainability. This review explores the role and potential of data analysis in maritime IoT applications. Through a series of case studies, it demonstrates the real-world impact of data analysis, from predictive maintenance to efficient port operations, improved navigation safety, and environmental compliance. The review also discusses the benefits and limitations of data analysis and highlights emerging trends and future directions in the field, including the growing application of AI and Machine Learning techniques. Despite the promising opportunities, several challenges, including data quality, complexity, security, cost, and interoperability, need to be addressed to fully harness the potential of data analysis in maritime IoT. As the industry continues to embrace IoT and data analysis, it becomes critical to focus on overcoming these challenges and capitalizing on the opportunities to improve maritime operations.

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Section: Evolution and Growth Of Iot In The Maritime Industrymentioning

confidence: 99%

Navigating the Sea of Data: A Comprehensive Review on Data Analysis in Maritime IoT Applications

Durlik,

Miller,

Cembrowska-Lech

et al. 2023

Applied Sciences

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“…In recent years, WSN and RFID have gained tremendous attention in the field of IoT applications. Both technologies have different capabilities and are used in different scenarios depending on their needs [50]. RFIDs provide reading content that is used to detect and identify objects they are associated with.…”

Section: Quality Of Data In Rfidmentioning

confidence: 99%

Quality of Data (QoD) in Internet of Things (IOT): An Overview, State-of-the-Art, Taxonomy and Future Directions

Yalli,

Hasan,

Haron

et al. 2023

IJACSA

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The Internet of Things (IoT) data is the main component for finding the basis that allows decisions to be made intelligently and enables other services to be explored and used. Data originates from smart things that have the capabilities to connect and share data enormously with other things in the IoT ecosystem. However, the level of intelligence obtained and the type of services provided, all depend on whether the data is trusted or not. High-quality data is the most trusted;, it can be used to extract meaningful insights from an event and can also be used to provide good services to humans. Therefore, decisions based on high-quality and trusted data could be good, whereas those based on low-quality or untrusted data are not only bad but could also have severe consequences. The term Quality of Data (QoD) is used to represent data trustworthiness and is used throughout this paper. To the best of our knowledge, this work is the first to coin the term QoD. The problems that hinder QoD are identified and discussed. One if it is an outlier, it is a major feature of the data that degrades its overall quality. Several machine-learning techniques that detect outliers have been studied and presented, with few data-cleaning techniques. This paper aims to present the elements necessary to ensure QoD by presenting the overview of the IoT state-of-the-art. Then, data quality, data in IoT, and outliers are studied, and some quality assurance techniques that maintain data quality is presented. A comprehensive taxonomy is shown to provide state-of-the-art data in IoT. Open issues and future directions were suggested at the end of the paper.

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Unveiling barriers to IoT adoption in the maritime freight industry

Singh,

Lakshay,

Pratap

et al. 2024

Int J Syst Assur Eng Manag

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Survey: An Overview of Lightweight RFID Authentication Protocols Suitable for the Maritime Internet of Things

Cited by 5 publications

References 62 publications

Navigating the Sea of Data: A Comprehensive Review on Data Analysis in Maritime IoT Applications

Navigating the Sea of Data: A Comprehensive Review on Data Analysis in Maritime IoT Applications

Quality of Data (QoD) in Internet of Things (IOT): An Overview, State-of-the-Art, Taxonomy and Future Directions

Unveiling barriers to IoT adoption in the maritime freight industry

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