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Journal articles on the topic 'Maritime Internet of Things'
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Kim, Yongjae, Yujae Song, and Sung Hoon Lim. "Hierarchical Maritime Radio Networks for Internet of Maritime Things." IEEE Access 7 (2019): 54218–27. http://dx.doi.org/10.1109/access.2019.2911703.
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Xia, Tingting, Michael Mao Wang, Jingjing Zhang, and Lei Wang. "Maritime Internet of Things: Challenges and Solutions." IEEE Wireless Communications 27, no. 2 (2020): 188–96. http://dx.doi.org/10.1109/mwc.001.1900322.
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R., Bosneagu. "Maritime Economy versus Maritime Geoeconomics." Scientific Bulletin of Naval Academy XIX, no. 1 (2018): 593–98. http://dx.doi.org/10.21279/1454-864x-18-i1-089.
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Throughout its history, the world has seen more social-political, industrial and economic revolutions, the most recent being the revolution of the "Internet" and the social networks, transformed, among other things in economic promotion vectors. The next global revolution, which has already begun, is the "maritime" revolution. The ocean is the new objective of human development because here all the sectors of the world economy converge and can thus provide: food, energy, resources, transport, health and leisure. The maritime economic sector already contributes over $ 1.5 trillion to the world economy, an estimated contribution to increase at least twice over the next two decades.
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Mala, Christian, Alfet Luasunaung, Patrice Kalangi, et al. "Portable Tidal Monitoring System for Coastal Observation in North Sulawesi." JURNAL PESISIR DAN LAUT TROPIS 13, no. 2 (2025): 118–23. https://doi.org/10.35800/jplt.13.2.2025.61705.
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Tidal data play a critical role in supporting maritime weather forecasting and providing disaster-related information, such as early warnings for tidal flooding. However, the limited distribution of tide gauge instruments across Indonesia remains a significant challenge in obtaining comprehensive data. This study aims to design and implement a portable tidal measurement device as an alternative solution to enhance data availability. The system is developed to monitor sea level heights in the operational area of the Bitung Maritime Meteorological Station, North Sulawesi, utilizing a JSN-SR04T ultrasonic sensor as the primary measurement instrument. The collected data are transmitted wirelessly using an ESP8266 NodeMCU module connected to the internet via a modem, subsequently stored in a database, and displayed through an Internet of Things (IoT)-based user interface. The device calibration was conducted by comparing the prototype’s measurements with those obtained from the standard Automatic Weather Station (AWS) at Bitung Maritime Station. Performance testing was carried out at Manado Port from October 5,2022 to October 7, 2022 2022. The observational data were validated using the Root Mean Square Error (RMSE) method to evaluate measurement accuracy. Validation results indicate that the closer the RMSE value approaches zero, the higher the accuracy of the data produced. Keywords: tidal monitoring, internet of things, ultrasonic sensor ABSTRAK Data pasang surut laut merupakan komponen krusial dalam mendukung prediksi cuaca maritim serta penyediaan informasi kebencanaan, seperti peringatan dini banjir rob. Namun demikian, keterbatasan distribusi alat pengamatan pasang surut di Indonesia masih menjadi kendala dalam memperoleh data yang komprehensif. Penelitian ini merancang dan mengimplementasikan perangkat pengukur pasang surut portabel sebagai solusi alternatif untuk meningkatkan ketersediaan data. Sistem dirancang untuk memantau ketinggian muka air laut di wilayah Stasiun Meteorologi Maritim Bitung, Sulawesi Utara, dengan memanfaatkan sensor ultrasonik JSN-SR04T sebagai alat ukur utama. Data hasil pengukuran dikirim secara nirkabel menggunakan modul ESP8266 NodeMCU yang terhubung ke jaringan internet melalui modem, kemudian disimpan dalam basis data dan ditampilkan melalui antarmuka berbasis Internet of Things (IoT). Kalibrasi perangkat dilakukan dengan metode komparatif terhadap alat standar Automatic Weather Station (AWS) Maritim Bitung. Uji performa perangkat dilaksanakan di Pelabuhan Manado selama 5 Oktober hingga 7 Oktober 2022. Data hasil pengamatan divalidasi menggunakan metode Root Mean Square Error (RMSE) untuk mengukur tingkat akurasi. Hasil validasi menunjukkan bahwa semakin mendekati nilai nol pada RMSE, maka tingkat akurasi data semakin tinggi. Kata kunci: pasang surut laut, internet of things, sensor ultrasonic
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Mudra, Glen, Hui Cui, and Michael N. Johnstone. "Survey: An Overview of Lightweight RFID Authentication Protocols Suitable for the Maritime Internet of Things." Electronics 12, no. 13 (2023): 2990. http://dx.doi.org/10.3390/electronics12132990.
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The maritime sector employs the Internet of Things (IoT) to exploit many of its benefits to maintain a competitive advantage and keep up with the growing demands of the global economy. The maritime IoT (MIoT) not only inherits similar security threats as the general IoT, it also faces cyber threats that do not exist in the traditional IoT due to factors such as the support for long-distance communication and low-bandwidth connectivity. Therefore, the MIoT presents a significant concern for the sustainability and security of the maritime industry, as a successful cyber attack can be detrimental to national security and have a flow-on effect on the global economy. A common component of maritime IoT systems is Radio Frequency Identification (RFID) technology. It has been revealed in previous studies that current RFID authentication protocols are insecure against a number of attacks. This paper provides an overview of vulnerabilities relating to maritime RFID systems and systematically reviews lightweight RFID authentication protocols and their impacts if they were to be used in the maritime sector. Specifically, this paper investigates the capabilities of lightweight RFID authentication protocols that could be used in a maritime environment by evaluating those authentication protocols in terms of the encryption system, authentication method, and resistance to various wireless attacks.
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S, Sabarinathan, Chandraman M, Prasanth S, Riyaz Ahamed IB, Praveen SV, and Yuvaraj K. "Internet of Things Enhanced Maritime Robot for Ocean Waste Cleanup." Journal of Electronics and Informatics 6, no. 3 (2024): 270–77. http://dx.doi.org/10.36548/jei.2024.3.006.
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Plastic pollution is a major environmental concern, particularly in aquatic habitats. The accumulation of floating debris in water bodies caused by plastic pollution negatively impacts ecosystems, aquatic life, and water quality. The objective of this proposed study is to develop a remote-controlled boat equipped with sensors for measuring water quality and an efficient waste collection system. These sensors provide important information about the environmental conditions of the water body by measuring important factors like pH, dissolved oxygen, and turbidity. The data on water quality helps identify the regions that require immediate attention to prevent and manage pollution, as well as assess the overall health of the ecosystem. The primary goal of the research is to significantly reduce the plastic waste in marine areas, promote sustainable practices, and raise public awareness about the need to address marine pollution, ultimately enhancing a healthier marine ecosystem.
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Huo, Yiming, Xiaodai Dong, and Scott Beatty. "Cellular Communications in Ocean Waves for Maritime Internet of Things." IEEE Internet of Things Journal 7, no. 10 (2020): 9965–79. http://dx.doi.org/10.1109/jiot.2020.2988634.
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Wang, Michael Mao, Jingjing Zhang, and Xiaohu You. "Machine-Type Communication for Maritime Internet of Things: A Design." IEEE Communications Surveys & Tutorials 22, no. 4 (2020): 2550–85. http://dx.doi.org/10.1109/comst.2020.3015694.
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Guo, Yu, and Wei Wang. "Application of Intelligent Obstacle Avoidance Algorithm Combined with Internet of Things Technology in Navigation." Information Technology and Control 54, no. 1 (2025): 84–98. https://doi.org/10.5755/j01.itc.54.1.37866.
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With the prosperity and development of the Maritime Silk Road, China's maritime industry has reached a new height. While the maritime transport industry has been vigorously developed, it has also brought great challenges to safe navigation. To realize intelligent navigation, effectively prevent maritime collision accidents, and improve navigation safety, a structural model of intelligent navigation obstacle avoidance platform based on Internet of Things technology is first proposed. Then the research combines the analytic hierarchy process, artificial neural network and BP neural network algorithm, and introduces environmental factors to design an optimized intelligent navigation obstacle avoidance algorithm, so that the algorithm can make real-time intelligent adjustment strategies according to the changes of the actual environment. Finally, the collision risk at the location of the research ship is judged, and the priority list of obstacle avoidance is constructed by the risk value between different ships and the research ship, providing reference for the pilot. The research results show that the prediction accuracy of I-INOA algorithm is 97.83%. In the two obstacle avoidance experiments, the decision-making efficiency of the four ships based on I-IONA algorithm is the highest, which is 1. In practical application, the priority list of obstacle avoidance is P, O and S2. In conclusion, I-INOA algorithm has better performance and practicability, enabling the research ship to respond more intelligently and quickly.
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Yang, Tingting, Jiacheng Chen, and Ning Zhang. "AI-Empowered Maritime Internet of Things: A Parallel-Network-Driven Approach." IEEE Network 34, no. 5 (2020): 54–59. http://dx.doi.org/10.1109/mnet.011.2000020.
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Serafia, Ana, and Mariana Golumbeanu. "Assuring the long-term sustainability of the Surveying & MARiTime internet of thingS EducAtion (SMARTSEA) Project." Cercetări Marine - Recherches Marines 52, no. 1 (2022): 148–58. http://dx.doi.org/10.55268/cm.2022.52.148.
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"The study is focused on the exploitation and dissemination activities for the sustainability of the MSc program on Smart Maritime & Surveying Systems within the Surveying & MARiTime internet of thingS EducAtion (SMARTSEA) project. A key factor for success is to ensure that the results and achievements of the project are made widely available to its target audience comprised of students, industrial partners, academic & market business and scientific community. As a unique European pilot-project funded by the European Union’s Erasmus+ Programme Knowledge Alliances, SMARTSEA aimed to develop an advanced interactive certified MSc course related to Maritime & Surveyor IoT applications that will train individuals with the necessary skills & knowledge to work in the rising “Smart Maritime & Surveying” industry. To reach its target audiences according to its expected impacts, an effective communication strategy was developed, based on project-specific dissemination and communication activities. This approach will provide an overview of the resources needed to accomplish the exploitation and dissemination objectives throughout the project lifecycle, while creating guidelines for future development and exploitation."
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Renaldo, Nicholas. "Integration of Internet of Things and Digital Accounting Systems for Marine Resources Monitoring." Interconnection: An Economic Perspective Horizon 2, no. 1 (2024): 50–59. https://doi.org/10.61230/interconnection.v2i1.91.
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This study explores the integration of Internet of Things (IoT) technologies and digital accounting systems in marine resource management, providing insights into how these technologies can improve operational efficiency, enhance sustainability, and optimize resource usage. The research follows a case study design with qualitative approach, which allows for an in-depth examination of the integration of IoT and digital accounting in specific marine industries, such as fisheries, aquaculture, and maritime logistics. The findings reveal that IoT is already being used for real-time environmental monitoring in industries like fisheries, aquaculture, and maritime transport, while digital accounting systems are primarily employed for financial and operational management. However, the integration of IoT data with digital accounting is still in its early stages, and challenges such as technical barriers, data overload, and system compatibility must be addressed to fully realize the potential of these technologies.
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Shipunov, Ilya, Anatoliy Nyrkov, Vitaly Korotkov, Oleg Alimov, and Tatiana Knysh. "Principles of using modern IT trends in maritime shipping." E3S Web of Conferences 203 (2020): 05005. http://dx.doi.org/10.1051/e3sconf/202020305005.
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The paper discusses modern technologies from the field of the Internet of Things that can be used to organize and manage navigation of ships, including autonomous ones. The use of these technologies will increase the level of safety and cybersecurity on ships.
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Xia, Tingting, Michael Mao Wang, and Xiaohu You. "Satellite Machine-Type Communication for Maritime Internet of Things: An Interference Perspective." IEEE Access 7 (2019): 76404–15. http://dx.doi.org/10.1109/access.2019.2919253.
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Birahayu, Dita. "Maritime Digital Diplomacy: Legal Revitalization and Reform of Modern and Solutive Diplomacy." Audito Comparative Law Journal (ACLJ) 4, no. 3 (2023): 170–84. http://dx.doi.org/10.22219/aclj.v4i3.28179.
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The existence of international politics and the foreign policy processes of a country has changed since the presence of the internet as a form of digitalization. The internet changed the practice of diplomacy and relations between countries. The Internet of Things is provided for all sectors. This also changes the dimension of diplomacy to digital diplomacy. Digital diplomacy cannot replace face-to-face diplomacy, but it still exists, and its needs will continue to increase. Digital diplomacy has also not been accommodated in the 1961 Vienna Convention on Diplomatic Relations, even though the development of diplomacy is very dynamic, along with the many disputes that arise between countries. Disputes between countries that often arise are disputes in the maritime sector. Therefore, maritime diplomacy is needed in resolving disputes in the maritime sector, considering that one of Indonesia's maritime axes. This research is normative juridical research that uses qualitative methods with statute and conceptual approach. The result of this research is that maritime digital diplomacy has a position as a means of communication and political negotiation, which is important for defending and fighting for national interests. Indonesia needs maritime digital diplomacy as a medium to fight for national interests and strategic issues in the maritime sector. A modern and solutive revitalization and legal reform of diplomacy is needed in order to establish good relations between countries.
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Winarno Winarno, Larsen Barasa, Damoyanto Purba, Susi Herawati, Firdaus Bintang Cahyanti, and Hazbi Aziz Ashshiddiqi. "The Impact of Digitalization on Maritime Operations: Exploring Emerging Technologies in Management and Education." ePaper Bisnis : International Journal of Entrepreneurship and Management 1, no. 4 (2024): 17–32. http://dx.doi.org/10.61132/epaperbisnis.v1i4.111.
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This research explores the transformative impact of digitalization on maritime operations, focusing on emerging technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and blockchain. Through qualitative research and descriptive analysis, perspectives from maritime professionals, lecturers, and graduates were examined to understand the integration of these technologies in maritime management, operations, and education. The findings reveal that digital tools significantly enhance operational efficiency, decision-making, and sustainability while highlighting challenges in workforce training and the gap between theoretical knowledge and practical application in maritime education. Despite the benefits, full optimization of these technologies is still developing due to varied adoption levels across the industry. The research emphasizes the need for investment in infrastructure, continuous professional development, and educational reform to fully leverage digitalization in the maritime sector.
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Palma, David. "Enabling the Maritime Internet of Things: CoAP and 6LoWPAN Performance Over VHF Links." IEEE Internet of Things Journal 5, no. 6 (2018): 5205–12. http://dx.doi.org/10.1109/jiot.2018.2868439.
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Liu, Shulei, Lijun Zhu, Fanghui Huang, Abual Hassan, Dawei Wang, and Yixin He. "A Survey on Air-to-Sea Integrated Maritime Internet of Things: Enabling Technologies, Applications, and Future Challenges." Journal of Marine Science and Engineering 12, no. 1 (2023): 11. http://dx.doi.org/10.3390/jmse12010011.
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Future generation communication systems are exemplified by 5G and 6G wireless technologies, and the utilization of integrated air-to-sea (A2S) communication infrastructure is employed to extend network coverage and enhance data throughput to support data-driven maritime applications. These ground-breaking techniques have promoted the rapid development of the maritime internet of things (MIoT). In particular, the integration of air base stations (ABSs) in the MIoT can achieve broadband, low-delay, and reliable wireless transmissions. Considering the potential of ABS-enabled communications, this survey presents the state of the art in the A2S integrated MIoT. More specifically, relevant A2S integrated MIoT architectures are discussed together with the role of their building blocks. Next, we introduce the enabling technologies, including the sensor, communication, data processing and storage, and security and privacy protection techniques. Then, resource allocation, cloud/edge computing and caching, routing protocols, and spatial location optimization in the maritime environment are discussed and grouped based on their performance targets. Additionally, we also show the potential applications of the A2S integrated MIoT in marine environment monitoring, traffic, navigation safety, and resources management. Finally, several future challenges in the area of the A2S integrated MIoT are given, related to the technical security, reliability, and energy efficiency, etc.
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Niknami, Nadia, Avinash Srinivasan, Ken St. Germain, and Jie Wu. "Maritime Communications—Current State and the Future Potential with SDN and SDR." Network 3, no. 4 (2023): 563–84. http://dx.doi.org/10.3390/network3040025.
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The rise of the Internet of Things (IoT) has opened up exciting possibilities for new applications. One such novel application is the modernization of maritime communications. Effective maritime communication is vital for ensuring the safety of crew members, vessels, and cargo. The maritime industry is responsible for the transportation of a significant portion of global trade, and as such, the efficient and secure transfer of information is essential to maintain the flow of goods and services. With the increasing complexity of maritime operations, technological advancements such as unmanned aerial vehicles (UAVs), autonomous underwater vehicles (AUVs), and the Internet of Ships (IoS) have been introduced to enhance communication and operational efficiency. However, these technologies also bring new challenges in terms of security and network management. Compromised IT systems, with escalated privileges, can potentially enable easy and ready access to operational technology (OT) systems and networks with the same privileges, with an increased risk of zero-day attacks. In this paper, we first provide a review of the current state and modalities of maritime communications. We then review the current adoption of software-defined radios (SDRs) and software-defined networks (SDNs) in the maritime industry and evaluate their impact as maritime IoT enablers. Finally, as a key contribution of this paper, we propose a unified SDN–SDR-driven cross-layer communications framework that leverages the existing SATCOM communications infrastructure, for improved and resilient maritime communications in highly dynamic and resource-constrained environments.
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Wulandari, Retno Sawitri, Tri Cahyadi, Winarno Winarno, and B. B. Harianto. "Exploring a decade of maritime transportation studies: Trends and developments." International Journal of Innovative Research and Scientific Studies 8, no. 2 (2025): 3807–19. https://doi.org/10.53894/ijirss.v8i2.6110.
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This study aims to identify trends and developments in maritime transportation research over the past decade using bibliometric analysis based on Scopus data. Bibliographic coupling and co-word analysis techniques were employed to evaluate research relationships, topic trends, and their impact. VOSviewer software was utilized to map the research network. The bibliometric coupling analysis revealed four major clusters, including sustainability strategies, operational optimization, digital transformation, and navigation safety. Meanwhile, the co-word analysis identified three dominant themes: maritime accident prediction, China's container trade growth, and sustainable maritime transportation strategies. Research trends indicate an increasing focus on digital technologies, such as artificial intelligence and the Internet of Things (IoT), in navigation and port management. Theoretically, this study enhances the understanding of the knowledge structure in maritime transportation. Practically, the findings provide valuable insights for industry stakeholders and policymakers in developing evidence-based strategies to improve the efficiency, sustainability, and safety of maritime transportation.
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Maming, Jimmy Bernabe, Kimberly Cui Nuevo Toring, and Eugene Escalona Toring. "Charting a New Course: A Research Methodology Guide for the Maritime Industry." Psychology and Education: A Multidisciplinary Journal 39, no. 6 (2025): 713–22. https://doi.org/10.70838/pemj.390601.
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This study explores a range of methodological approaches in maritime research, including qualitative, quantitative, and mixed-methods designs. Qualitative methods provide in-depth insights into the lived experiences of seafarers, while quantitative approaches leverage statistical tools and large datasets to optimize maritime operations. Mixed-methods research integrates both paradigms, offering a more holistic understanding of complex maritime phenomena. For instance, a mixed-methods framework can effectively assess the impact of emerging technologies on seafarer well-being. This research also evaluates various data collection techniques and incorporates advanced analytical tools, such as machine learning, to enhance data interpretation. Ethical considerations, including privacy protection and informed consent, are prioritized throughout the research process. Furthermore, the study underscores the transformative potential of Industry 4.0 technologies—such as artificial intelligence, blockchain, and the Internet of Things (IoT)—in reshaping maritime practices. By synthesizing diverse research methodologies, scholars can gain deeper insights into the evolving maritime landscape and address its emerging challenges more effectively.
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Botnaryuk, M. V., and S. A. Kalinina. "Impact of the Internet of Things on the formation of a model for optimizing port terminal operations." Journal of Physics: Conference Series 2061, no. 1 (2021): 012140. http://dx.doi.org/10.1088/1742-6596/2061/1/012140.
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Abstract The research established that new business conditions have radically changed relations between the participants in the transport process. The Coronavirus Disease Pandemic (COVID-19) has revealed the lag of most maritime enterprises in the digitalization process. The problems of interaction and competitions caused by the transformation of stereotypes of behavior of transport services consumers have become more acute. The need for new approaches to optimizing port terminal operations has determined the purpose of the research. The problem is multifold, that is why the article analyzes statistics; a survey of top managers of companies providing port services was conducted. The key requirements of customers are the speed of service, organization of terminal operation on the concept of the Internet of Things, digital competence of company employees that affects the speed and quality of services.In order to optimize terminal operations, the authors suggest applying a mathematical model providing the competent planning of terminal operations with a given probability of customer service. The authors suggest increasing the cooperation between employers and educational institutions in the development of digital competence in students and application of the Internet of Things in the Maritime Industry.
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Lin, Zhijian, Xiaopei Chen, and Pingping Chen. "Energy harvesting space-air-sea integrated networks for MEC-enabled maritime Internet of Things." China Communications 19, no. 9 (2022): 47–57. http://dx.doi.org/10.23919/jcc.2022.09.005.
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Lee, Sol-Bee, Jung-Hyok Kwon, Bu-Young Kim, Woo-Seong Shim, Taeshik Shon, and Eui-Jik Kim. "Slot Occupancy-Based Collision Avoidance Algorithm for Very-High-Frequency Data Exchange System Network in Maritime Internet of Things." Applied Sciences 14, no. 24 (2024): 11751. https://doi.org/10.3390/app142411751.
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The maritime industry is undergoing a paradigm shift driven by rapid advancements in wireless communication and an increase in maritime traffic data. However, the existing automatic identification system (AIS) struggles to accommodate the increasing maritime traffic data, leading to the introduction of the very-high-frequency (VHF) data exchange system (VDES). While the VDES increases bandwidth and data rates, ensuring the stable transmission of maritime IoT (MIoT) application data in congested coastal areas remains a challenge due to frequent collisions of AIS messages. This paper presents a slot occupancy-based collision avoidance algorithm (SOCA) for a VDES network in the MIoT. SOCA is designed to mitigate the impact of interference caused by transmissions of AIS messages on transmissions of VDE-Terrestrial (VDE-TER) data in coastal areas. To this end, SOCA provides four steps: (1) construction of the neighbor information table (NIT) and VDES frame maps, (2) construction of the candidate slot list, (3) TDMA channel selection, and (4) slot selection for collision avoidance. SOCA operates by constructing the NIT based on AIS messages to estimate the transmission intervals of AIS messages and updating VDES frame maps upon receiving VDES messages to monitor slot usage dynamically. After that, it generates a candidate slot list for VDE-TER channels, classifying the slots into interference and non-interference categories. SOCA then selects a TDMA channel that minimizes AIS interference and allocates slots with low expected occupancy probabilities to avoid collisions. To evaluate the performance of SOCA, we conducted experimental simulations under static and dynamic ship scenarios. In the static ship scenario, SOCA outperforms the existing VDES, achieving improvements of 13.58% in aggregate throughput, 11.50% in average latency, 33.60% in collision ratio, and 22.64% in packet delivery ratio. Similarly, in the dynamic ship scenario, SOCA demonstrates improvements of 7.30%, 11.99%, 39.27%, and 11.82% in the same metrics, respectively.
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Wei, Ze, Rongxi He, Yunuo Li, and Chengzhi Song. "DRL-Based Computation Offloading and Resource Allocation in Green MEC-Enabled Maritime-IoT Networks." Electronics 12, no. 24 (2023): 4967. http://dx.doi.org/10.3390/electronics12244967.
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The maritime Internet of Things (MIoT), a maritime version of the Internet of Things (IoT), is envisioned as a promising solution that can provide ubiquitous connectivity over land and sea. Due to the rapid development of maritime activities and the maritime economy, there is a growing demand for computing-intensive and latency-sensitive maritime applications requiring various energy consumption, communication, and computation resources, posing a significant challenge to MIoT devices due to their limited computational ability and battery capacity. Mobile Edge Computing (MEC), which can handle computation tasks at the network’s edge more efficiently and with less latency, is emerging as a paradigm for fulfilling the ever-increasing demands of MIoT applications. However, the exponential increase in the number of MIoT devices has increased the system’s energy consumption, resulting in increased greenhouse gas emissions and a negative impact on the environment. As a result, it is vital for MIoT networks to take traditional energy usage minimization into account. The integration of renewable energy-harvesting capabilities into base stations or MIoT devices possesses the potential to reduce grid energy consumption and carbon emissions. However, making an effective decision regarding task offloading and resource allocation is crucial for maximizing the utilization of the system’s potential resources and minimizing carbon emissions. In this paper, we first propose a green MEC-enabled maritime IoT network architecture to flexibly provide computing-intensive and latency-sensitive applications for MIoT users. Based on the architecture, we formulate the joint task offloading and resource allocation problem by optimizing the total system execution efficiency (including the total size of completed tasks, task execution latency, and the system’s carbon emissions) and then propose a deep-deterministic-policy-gradient-based joint optimization strategy to solve the problem, eventually obtaining an effective resolution through continuous action space learning in the changing environment. Finally, simulation results confirm that our proposal can yield good performance in system execution efficiency compared to other benchmarks; that is, it can significantly reduce the system’s carbon emissions and tasks’ delay and improve the total size of completed tasks.
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Babachenko, Maryna, Iryna Golubkova, Nataliia Lysenko, Inha Kucher, and Larysa Burmaka. "Innovative approaches to managing maritime industry enterprises based on implementing information and communication technologies." Actual problems of innovative economy and law 2025, no. 2 (2025): 63–67. https://doi.org/10.36887/2524-0455-2025-2-14.
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The work aims to form a system of innovative development of maritime industry enterprises using information and communication technologies. The purpose of the study provided for the following methodological apparatus: observation to study the state of the naval industry and innovative development; comparison to determine the trend of indicators of marine industry enterprises and innovation costs; induction and deduction to establish a connection between different elements of the research object from top to bottom and vice versa; bibliographic to study and develop a connection between aspects of innovative development of maritime industry enterprises. Despite the insignificant impact on cargo and passenger turnover (about 1% of the total turnover), maritime industry companies handle cargo that other modes of transport cannot always transport. A significant level of depreciation of fixed assets, sometimes reaching 90% and above, indicates the need to change existing approaches to new ones based on innovation. The existing regulatory framework is imperfect, the doctrine and strategy for developing the maritime industry have been approved, but they are more declarative, without considering the innovation component. The too-low level of innovatively active enterprises (4%) does not fully reveal the potential of the maritime industry. At the same time, foreign companies are implementing processes of automation, robotics, artificial intelligence, the Internet of Things, sensor technology, etc. in all areas of operation of such companies. In Ukrainian companies, the most excellent attention is focused on methods of communications or information processing (almost 20%), logistics, delivery or distribution (18%), accounting or administrative management (17%), etc. These processes are implemented at infrastructure facilities, cargo handling, inter- and multimodal transportation, customs clearance of cargo and payment of duties, consumption of fuel and energy resources, strengthening of safety and security, and surrounding natural environment. Many companies are implementing high-tech equipment, processes of monitoring loading and unloading and transport works, efficiency and control of cargo safety, etc., by creating integrated systems based on artificial intelligence, the Internet of Things, and blockchain technologies. Keywords: innovation, maritime industry, enterprise, information and communication technologies, digitalization.
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Karnavas, Stefanos I., Ilias Peteinatos, Athanasios Kyriazis, and Stavroula G. Barbounaki. "Using Fuzzy Multi-Criteria Decision-Making as a Human-Centered AI Approach to Adopting New Technologies in Maritime Education in Greece." Information 16, no. 4 (2025): 283. https://doi.org/10.3390/info16040283.
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The need to review maritime education has been highlighted in the relevant literature. Maritime curricula should incorporate recent technological advances, as well as address the needs of the maritime sector. In this paper, the Fuzzy Delphi Method (FDM) and the Fuzzy Analytic Hierarchy Process (FAHP) are utilized in order to propose a fuzzy multicriteria decision-making (MCDM) methodology that can be used to assess the importance of new technologies in maritime education and design a fuzzy evaluation model that can assist in maritime education policy-making. This study integrates the perspectives of the main maritime education stakeholders, namely, lecturers and maritime sector management. We selected data from a group of 19 experienced maritime professors and maritime business managers. The results indicate that new technologies such as artificial intelligence (AI), augmented and virtual reality (AR/VR), the Internet of Things (IoT), digital twins (DTs), and cybersecurity, as well as eLearning platforms, constitute a set of requirements that maritime education policies should meet by designing their curricula appropriately. This study suggests that fuzzy logic MCDM methods can be used as a human-centered AI approach for developing explainable education policy-making models that integrate stakeholder requirements and capture the subjectivity that is often inherited in their perspectives.
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Sanchez-Gonzalez, Pedro-Luis, David Díaz-Gutiérrez, Teresa Leo, and Luis Núñez-Rivas. "Toward Digitalization of Maritime Transport?" Sensors 19, no. 4 (2019): 926. http://dx.doi.org/10.3390/s19040926.
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Although maritime transport is the backbone of world commerce, its digitalization lags significantly behind when we consider some basic facts. This work verifies the state-of-the-art as it currently applies to eight digital domains: Autonomous vehicles and robotics; artificial intelligence; big data; virtual reality, augmented and mixed reality; internet of things; the cloud and edge computing; digital security; and 3D printing and additive engineering. It also provides insight into each of the three sectors into which this industry has been divided: Ship design and shipbuilding; shipping; and ports. The work, based on a systematic literature review, demonstrates that there are domains on which almost no formal study has been done thus far and concludes that there are major areas that require attention in terms of research. It also illustrates the increasing interest on the subject, arising from the necessity of raising the maritime transport industry to the same level of digitalization as other industries.
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Zou, Yangqiong, Guangnian Xiao, Qingjun Li, and Salvatore Antonio Biancardo. "Intelligent Maritime Shipping: A Bibliometric Analysis of Internet Technologies and Automated Port Infrastructure Applications." Journal of Marine Science and Engineering 13, no. 5 (2025): 979. https://doi.org/10.3390/jmse13050979.
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Amid the dual imperatives of global trade expansion and low-carbon transition, intelligent maritime shipping has emerged as a central driver for the innovation of international logistics systems, now entering a critical window period for the deep integration of Internet technologies and automated port infrastructure. While existing research predominantly focuses on isolated applications of intelligent technologies, systematic evaluations of the synergistic effects of technological integration on maritime ecosystems, policy compatibility, and contributions to global carbon emission governance remain under-explored. Leveraging bibliometric analysis, this study systematically examines 488 publications from the Web of Science (WoS) Core Collection (2000–2024), yielding three pivotal findings: firstly, China dominates the research landscape, with a 38.5% contribution share, where Artificial Intelligence (AI), the Internet of Things (IoT), and port automation constitute the technological pillars. However, critical gaps persist in cross-system protocol standardization and climate-adaptive modeling, accounting for only 2.7% and 4.2% of the literature, respectively. Secondly, international collaboration networks exhibit pronounced “Islamization”, characterized by an inter-team collaboration rate of 17.3%, while the misalignment between rapid technological iteration and existing maritime regulations exacerbates industry risks. Thirdly, a dual-track pathway integrating Cyber–Physical System (CPS)-based digital twin ports and open-source vertical domain-specific large language models is proposed. Empirical evidence demonstrates its efficacy in reducing cargo-handling energy consumption by 15% and decision-making latency by 40%. This research proposes a novel tripartite framework, encompassing technological, institutional, and data sovereignty dimensions, to resolve critical challenges in integrating multi-source maritime data and managing cross-border governance. The model provides academically validated and industry-compatible strategies for advancing sustainable maritime intelligence. Subsequent investigations should expand data sources to include regional repositories and integrate interdisciplinary approaches, ensuring the adaptability of both technical systems and international policy coordination mechanisms across diverse maritime ecosystems.
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Nugraha, Sapta, Rohani Br Siagian, Tonny Suhendra, et al. "IoT-Enabled Real-Time Monitoring System for Electricity Consumption in Maritime SMEs: Design and Evaluation." BIO Web of Conferences 134 (2024): 01008. http://dx.doi.org/10.1051/bioconf/202413401008.
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The growing demand for electrical energy in Small and Medium Enterprises (SMEs) within the maritime sector, necessitates efficient and cost-effective monitoring systems. This paper presents the design and implementation of an Internet of Things (IoT)-based real-time monitoring system for electricity consumption, specifically aimed at maritime SMEs. Using SCT-013-000 and ZMPT101B sensors for current and voltage measurements, the system enables remote monitoring through the Cayenne IoT platform. Experimental results demonstrate an average accuracy rate of 93.94% for current measurement and 98.50% for voltage measurement. Data transmission success rates were 74.00% and 99.02% in two consecutive tests. The proposed system provides an affordable and practical solution for maritime SMEs, contributing to improved energy management, reduced operational costs, and the promotion of sustainable practices. Future work includes the integration of predictive analytics and smart grid technology to further enhance energy efficiency and sustainability in maritime operations.
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Yang, Tingting, Yangyang Li, Chengzhe Lai, Jie Dong, and Minghua Xia. "The Improved Hill Encryption Algorithm towards the Unmanned Surface Vessel Video Monitoring System Based on Internet of Things Technology." Wireless Communications and Mobile Computing 2018 (October 3, 2018): 1–11. http://dx.doi.org/10.1155/2018/5183451.
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Depending on the actual demand of maritime security, this paper analyzes the specific requirements of video encryption algorithm for maritime monitoring system. Based on the technology of Internet of things, the intelligent monitoring system of unmanned surface vessels (USV) is designed and realized, and the security technology and network technology of the Internet of things are adopted. The USV are utilized to monitor and collect information on the sea, which is critical to maritime security. Once the video data were captured by pirates and criminals during the transmission, the security of the sea will be affected awfully. The shortcomings of traditional algorithms are as follows: the encryption degree is not high, computing cost is expensive, and video data is intercepted and captured easily during the transmission process. In order to overcome the disadvantages, a novel encryption algorithm, i.e., the improved Hill encryption algorithm, is proposed to deal with the security problems of the unmanned video monitoring system in this paper. Specifically, the Hill algorithm of classical cryptography is transplanted into image encryption, using an invertible matrix as the key to realize the encryption of image matrix. The improved Hill encryption algorithm combines with the process of video compression and regulates the parameters of the encryption process according to the content of the video image and overcomes the disadvantages that exist in the traditional encryption algorithm and decreases the computation time of the inverse matrix so that the comprehensive performance of the algorithm is optimal with different image information. Experiments results validate the favorable performance of the proposed improved encryption algorithm.
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Durlik, Irmina, Tymoteusz Miller, Danuta Cembrowska-Lech, Adrianna Krzemińska, Ewelina Złoczowska, and Aleksander Nowak. "Navigating the Sea of Data: A Comprehensive Review on Data Analysis in Maritime IoT Applications." Applied Sciences 13, no. 17 (2023): 9742. http://dx.doi.org/10.3390/app13179742.
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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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Hye, Mohammad Nazmuzzaman, and Md Mamun Habib. "Exploring Digital Supply Chain Practices in the Maritime Industry: A Systematic Literature Review." International Journal of Supply Chain Management 14, no. 1 (2025): 9–21. https://doi.org/10.59160/ijscm.v14i1.6295.
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The maritime industry is undergoing a significant transformation with the integration of digital technologies to enhance efficiency, transparency, and security. This study systematically reviews the adoption of key digital technologies- such as blockchain, cloud computing, and internet of things (IoT)-with in the maritime sector. The findings reveal that digital supply chain (DSC) technologies enhance real-time data exchange, predictive analytics, and automation. Additionally, the study highlights the primary challenges hindering digital adoption, including infrastructure limitations, regulatory constraints, cybersecurity risks, and resistance to change.The contributions of this research are threefold. First, it provides comprehensive classification digital technologies in the maritime industry and their functional role in supply chain management. Second, it develops a conceptual framework that aligns digitalization Practices with performance outcomes in maritime logistics. Third, it identifies gaps in current research and proposes directions for future studies, particularly in improving interoperability, standardizing digital platforms, and assessing the long-term impact of DSC innovations. The study offers valuable insights for academics, industry practitioners, and policymakers aiming to optimize digital supply chain practices in the maritime industry.
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Miller, Tymoteusz, Irmina Durlik, Ewelina Kostecka, Sylwia Sokołowska, Polina Kozlovska, and Rafał Zwolak. "Artificial Intelligence in Maritime Cybersecurity: A Systematic Review of AI-Driven Threat Detection and Risk Mitigation Strategies." Electronics 14, no. 9 (2025): 1844. https://doi.org/10.3390/electronics14091844.
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The maritime industry is undergoing a digital transformation, integrating automation, artificial intelligence (AI), and the Internet of Things (IoT) to enhance operational efficiency and safety. However, this technological evolution has also increased cybersecurity vulnerabilities, exposing vessels, ports, and maritime communication networks to sophisticated cyber threats. This systematic review, conducted following the PRISMA guidelines, examines the current landscape of AI-driven cybersecurity solutions in maritime environments. By analyzing peer-reviewed studies and industry reports, this review identifies key AI methodologies, including machine-learning-based intrusion detection systems, anomaly detection mechanisms, predictive threat modeling, and AI-enhanced zero-trust architectures. This study assesses the effectiveness of these techniques in mitigating cyber risks, explores their implementation challenges, and highlights existing research gaps. The findings indicate that AI-powered solutions significantly enhance real-time threat detection and response capabilities in maritime networks, yet issues such as data scarcity, regulatory constraints, and adversarial attacks on AI models remain unresolved. Future research directions should focus on integrating AI with blockchain, federated learning, and quantum cryptographic techniques to strengthen maritime cybersecurity frameworks.
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Akan, Ime Ibokette, Olamide Ogundare Tunde, Osei Danquah Edwin, Peter Anyebe Abraham, and Audu Agaba John. "Optimizing maritime communication networks with virtualization, containerization and IoT to address scalability and real – time data processing challenges in vessel – to – shore communication." Global Journal of Engineering and Technology Advances 20, no. 2 (2024): 135–74. https://doi.org/10.5281/zenodo.14921527.
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Maritime communication systems are critical to ensuring the safe and efficient operation of vessels, yet they face significant challenges in scalability, latency, and real-time data processing. This paper provides a detailed review of how the integration of virtualization, Containerization, and Internet of Things (IoT) technologies can effectively address these issues. Virtualization plays a pivotal role in optimizing resource management and ensuring the isolation of different communication processes, which is crucial for maintaining system stability and performance in maritime environments. Containerization further enhances this by enabling lightweight, scalable deployments of communication services, making it easier to update and manage systems without significant overhead or downtime. Additionally, IoT technologies are instrumental in improving real-time data collection and monitoring capabilities, which are essential for responding swiftly to the dynamic conditions of maritime operations. This paper examines the application of these technologies in key areas such as maritime satellite communication systems and vessel-to-shore communication networks. Through this examination, it highlights innovative solutions that can significantly improve operational efficiency and reliability. The review also discusses recent advancements and presents case studies that illustrate the practical implementation of these technologies in the maritime industry. These examples demonstrate how virtualization, containerization, and IoT can overcome the current limitations of maritime communication systems, offering a pathway to more robust, adaptable, and efficient communication frameworks. The findings underscore the potential of these technologies to transform maritime communication, paving the way for enhanced safety, efficiency, and resilience in global maritime operations.
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He, Wei, and Xiumin Chu. "A Novel Navigation Information Management System for Food Maritime Logistics Based on Internet of Things." Advance Journal of Food Science and Technology 6, no. 2 (2014): 280–83. http://dx.doi.org/10.19026/ajfst.6.25.
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Xu, Yanli, and Qianlian Yu. "Deep reinforcement learning based computation offloading and resource allocation strategy for maritime internet of things." Computer Networks 264 (June 2025): 111221. https://doi.org/10.1016/j.comnet.2025.111221.
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Mochamad Andri Prassetyo, Henna Nurdiansari, and Kuntoro Bayu Ajie. "Rancang Bangun Alat Pemilah Ikan Berbasis Internet Of Things (IoT)." Jurnal Teknik Mesin, Industri, Elektro dan Informatika 3, no. 2 (2024): 35–52. http://dx.doi.org/10.55606/jtmei.v3i2.3768.
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Mochamad Andri Prassetyo, Design of Fish Sorter Equipment Based on INTERNET of THINGS (IoT). Supervised by Henna Nurdiansari, S.T., MT., M.Sc. and Kuntoro Bayu Ajie, S.Kom., MT. According to data compiled by the Ministry of Maritime Affairs and Fisheries, the amount of fish produced by Indonesian seas has reached 12.01 million tonnes in 2022. The enormous potential of Indonesian marine products forces the need for technological intervention to help reduce production costs. Improving the quality of the products produced. One of the processes that requires technological intervention is the process of sorter fish that have been caught by fishing vessels and then having to be regrouped according to the weight of the fish. By adopting sophisticated technology and systems in the modern fisheries market, efforts to achieve efficiency and reduce the risk of human error can be increased. Internet of Things (IoT) is a technological concept that has the ability to connect and facilitate the communication process between machines, devices, sensors and humans via the internet network. After conducting Research and Development (R&D), designing an Internet of Things-based fish sorting tool could become a new technology that can increase product efficiency by designing a system, designing tools and testing plans for sorting fish based on measuring the weight of the fish. Based on the test results, it can be concluded that the design of an Internet of Things-based fish sorting tool can detect fish entering the container that has been prepared through component testing and after testing the entire tool, data on the results of weight measurements on fish using the fish sorting system can be sent to Google Spreadsheet. So that the data can be accessed publicly by sending a predetermined link.
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Bălan, Carmen. "The disruptive impact of future advanced ICTs on maritime transport: a systematic review." Supply Chain Management: An International Journal 25, no. 2 (2018): 157–75. http://dx.doi.org/10.1108/scm-03-2018-0133.
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Purpose This systematic literature review focuses on the following future advanced information and communication technologies (ICTs) applied in the maritime transport of cargo: Internet of Things (IoT), big data, cloud computing and autonomous ships/vessels (including unmanned ships/vessels). The review question is: “RQ: In what context and by means of what mechanism does the implementation of future advanced ICTs have disruptive impact on maritime transport?”. Design/methodology/approach The paper complies with the methodological requirements of systematic reviews. The information analysis and synthesis are based on the CIMO logic, referring to the context (C), intervention (I), mechanism (M) and outcome (O) of the implementation of future advanced ICTs in maritime transport. Findings The review identifies the contextual factors and components of the mechanism that lead to the disruptive impact of different types of future advanced ICT interventions on maritime transport. Research limitations/implications The review approaches only the most important future advanced ICTs that will disrupt maritime transport. Practical implications The maritime transport organizations should consider: intended outcome as intervention trigger; increased efficiency and responsiveness; benchmarking. Originality/value For the first time, the CIMO logic is applied in a systematic review focused on future advanced ICTs in maritime transport. The CIMO-DMT model is elaborated as a basis for further research. Ten directions of study are recommended in a future research agenda.
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Artaraharja, Yoseph Daniswara, Sjarief Widjaja, and Yuda Apri Hermawan. "DIGITAL MANUFACTURING MODEL FOR REMOTELY OPERATED VEHICLE (ROV) IN INDONESIA: A CONCEPT STUDY." Journal of Marine-Earth Science and Technology 4, no. 3 (2024): 64–67. http://dx.doi.org/10.12962/j27745449.v4i3.1060.
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Industrial revolution 4.0 era represents a paradigm shift in manufacturing and technology, which is characterized by an integrated and interconnected system to support the operation of an industry. Many countries contributed to this era, including Indonesia. As a maritime country, maritime-related products have the potential to be offered. Remotely operated vehicles (ROV) is a form of digitalization product that is frequently used to support the operation of the maritime industry. Therefore, ROV is manufactured locally to provide easier access to industries demanding ROV. Digital manufacturing for ROV can bring further contributions towards industrial revolution 4.0, which involves the usage of digital technologies such as computer-aided design and manufacturing (CAD/CAM), internet of things (IoT), artificial intelligence (AI), and robotics to create an integrated manufacturing system. Furthermore, digital manufacturing information system provides real-time information during the manufacturing process. According to this study, digital manufacturing can significantly improve the efficiency and integration in manufacturing the ROV.
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Akan Ime Ibokette, Tunde Olamide Ogundare, Edwin Osei Danquah, Abraham Peter Anyebe, and John Audu Agaba. "Optimizing maritime communication networks with virtualization, containerization and IoT to address scalability and real – time data processing challenges in vessel – to – shore communication." Global Journal of Engineering and Technology Advances 20, no. 2 (2024): 135–74. http://dx.doi.org/10.30574/gjeta.2024.20.2.0156.
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Maritime communication systems are critical to ensuring the safe and efficient operation of vessels, yet they face significant challenges in scalability, latency, and real-time data processing. This paper provides a detailed review of how the integration of virtualization, Containerization, and Internet of Things (IoT) technologies can effectively address these issues. Virtualization plays a pivotal role in optimizing resource management and ensuring the isolation of different communication processes, which is crucial for maintaining system stability and performance in maritime environments. Containerization further enhances this by enabling lightweight, scalable deployments of communication services, making it easier to update and manage systems without significant overhead or downtime. Additionally, IoT technologies are instrumental in improving real-time data collection and monitoring capabilities, which are essential for responding swiftly to the dynamic conditions of maritime operations. This paper examines the application of these technologies in key areas such as maritime satellite communication systems and vessel-to-shore communication networks. Through this examination, it highlights innovative solutions that can significantly improve operational efficiency and reliability. The review also discusses recent advancements and presents case studies that illustrate the practical implementation of these technologies in the maritime industry. These examples demonstrate how virtualization, containerization, and IoT can overcome the current limitations of maritime communication systems, offering a pathway to more robust, adaptable, and efficient communication frameworks. The findings underscore the potential of these technologies to transform maritime communication, paving the way for enhanced safety, efficiency, and resilience in global maritime operations.
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Wei, Te, Wei Feng, Yunfei Chen, Cheng-Xiang Wang, Ning Ge, and Jianhua Lu. "Hybrid Satellite-Terrestrial Communication Networks for the Maritime Internet of Things: Key Technologies, Opportunities, and Challenges." IEEE Internet of Things Journal 8, no. 11 (2021): 8910–34. http://dx.doi.org/10.1109/jiot.2021.3056091.
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Tian, Yuxuan, Yu Guo, Yuxu Lu, Yuan Gao, and Ryan Wen Liu. "Towards a physical imaging-driven sparse attention dehazer for Internet of Things-aided Maritime Intelligent Transportation." Computers and Electrical Engineering 123 (April 2025): 110257. https://doi.org/10.1016/j.compeleceng.2025.110257.
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Haidine, A., A. Ait-Allal, A. Aqqal, and A. Dahbi. "NETWORKING LAYER FOR THE EVOLUTION OF MARITIME PORTS INTO A SMART ENVIRONMENT." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-4/W5-2021 (December 23, 2021): 251–57. http://dx.doi.org/10.5194/isprs-archives-xlvi-4-w5-2021-251-2021.
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Abstract. The maritime transport is playing an increasing and critical role on the worldwide trade; because it guarantee the delivery of 80% of the goods worldwide. The maritime ports are the articulation of the maritime transports, and therefore are responsible of (long delay in the ports means high risks for goods deterioration, higher costs for the logistics companies, longer occupation of containers for containers management companies, etc. In recent years some publications are talking about smart ports. In this paper we take some of the most recent models of smart port, and propose some extensions by considering the recent recommendations from International Maritime Organization (IMO), which have been translated and issued legislation frameworks by the European Union, such as maritime environment monitoring, air pollution, etc. In the recent years, any “smart” environment is modeled through an Internet-of-Things (IoT) layered model. Thus, we discuss the model of smart port environment as IoT layered model, where the networking/communications layer plays the core role. Furthermore, we analyse the possible networking technologies which could support the different smart domains building the smart port environment. This is achieved by first defining the different sub-layers of the hierarchical communication layer, and then comparing different technologies for building the broadband mobile sub-layer.
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Sagala, Albert, Suprianto Hutapea, Rondy Sinaga, and Ramot Lubis. "Implementing interoperable multi-gateway LoRaWAN for efficient maritime tracking systems." EUREKA: Physics and Engineering, no. 3 (May 27, 2024): 159–68. http://dx.doi.org/10.21303/2461-4262.2024.003138.
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Determining the precise location of a ship navigating on a lake is of utmost importance for various logistical and safety reasons. However, this task can become particularly challenging when operating in regions with limited or no access to the Internet. Fortunately, advancements in technology, specifically the Internet of Things (IoT) utilizing Low Power Wide Area Network (LPWAN) technology, have offered a robust solution to address this issue. LPWAN technology enables long-range data transmission without being reliant on traditional internet connectivity. In the context of our research, a LoRaWAN end node is employed equipped with LGT92, along with three gateways sourced from two different vendors, to effectively track the real-time position of a ship. To gauge the effectiveness of our system, let’s conduct experiments and obtained significant results. One noteworthy finding was that the communication range between one of the gateways and the LoRaWAN end node extended to 2.5 kilometers when utilizing the RAK 7243 gateway. In contrast, the Dragino LG308 gateway impressively stretched this range to 5.7 kilometers. All three gateways to broaden the tracking coverage area and ensure comprehensive monitoring are strategically deployed. Our research's primary focus was tracking a ship's journey spanning 16 kilometers from Balige to Onanrunggu port. Throughout our experimentation, it is confirmed that the ship's precise coordinates, including latitude and longitude, were accurately transmitted from the end node on the ship to the designated gateway. This crucial position data was then seamlessly transmitted to the cloud. This real-time tracking capability proved invaluable, allowing for constant oversight and decision-making support during the ship's journey
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Djaka Dewa Soekarno, Rizqi Aini Rakhman, Teguh Pribadi, and Romanda Annas Amrullah. "Rancang Bangun Alat Monitoring Pelampung Suar Berbasis Internet of Things (IoT) Terhadap Sarana Bantu Navigasi Pelayaran di Distrik Navigasi Tanjung Perak Surabaya." JURAL RISET RUMPUN ILMU TEKNIK 4, no. 1 (2025): 354–63. https://doi.org/10.55606/jurritek.v4i1.4957.
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This research discusses issues related to the Navigation Aids, particularly the buoy objects. The study aims to design and develop a monitoring device for buoys based on the Internet of Things (IoT). This study aims to design and develop a buoy monitoring device based on the Internet of Things (IoT) as a solution to the lack of monitoring and supervision of buoys in the Tanjung Perak Navigation District. The identified contributing factors include: (1) displacement of buoys due to ocean currents, (2) suboptimal performance of the flasher lights, and (3) disappearance of the buoys. Using the Research and Development (R&D) method, the researcher designed a monitoring system capable of real-time observation through internet connectivity. The product feasibility test conducted by experts resulted in an average percentage index of 94%, placing it in the 'Highly Feasible' category for use. The results demonstrate that the IoT-based buoy monitoring device significantly enhances the efficiency and effectiveness of buoy supervision. This research is expected to contribute to the development of knowledge within the Bachelor of Applied Science in Marine Transportation program and provide technological innovation in the field of maritime navigation in Indonesia.
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Golovan, Andrii, Vasyl Mateichyk, Igor Gritsuk, et al. "Enhancing Information Exchange in Ship Maintenance through Digital Twins and IoT: A Comprehensive Framework." Computers 13, no. 10 (2024): 261. http://dx.doi.org/10.3390/computers13100261.
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This article proposes a comprehensive framework for enhancing information exchange in ship maintenance through the integration of Digital Twins (DTs) and the Internet of Things (IoT). The maritime industry faces significant challenges in maintaining ships due to issues like data silos, delayed information flow, and insufficient real-time updates. By leveraging advanced technologies such as DTs and IoT, this framework aims to optimize maintenance processes, improve decision-making, and increase the operational efficiency of maritime vessels. Digital Twins create virtual replicas of physical assets, allowing for continuous monitoring, simulation, and prediction of ship conditions. Meanwhile, IoT devices enable real-time data collection and transmission from various ship components, facilitating a seamless flow of information. This integrated approach enhances predictive maintenance capabilities, reduces downtime, and improves resource allocation. The article will delve into the architecture of the proposed framework, implementation steps, and potential challenges, supported by case studies that demonstrate its practical application and benefits. By addressing these aspects, the framework aims to provide a robust solution for modernizing ship maintenance operations and ensuring the longevity and reliability of maritime assets.
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Kim, Hyunjoo, and Inwhee Joe. "Enhancing Anomaly Detection in Maritime Operational IoT Time Series Data with Synthetic Outliers." Electronics 13, no. 19 (2024): 3912. http://dx.doi.org/10.3390/electronics13193912.
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Detecting anomalies in engine and machinery data during ship operations is crucial for maintaining the safety and efficiency of the vessel. We conducted experiments using device data from the maritime industry, consisting of time series records from IoT (Internet of Things) datasets such as cylinder and exhaust gas temperatures, coolant temperatures, and cylinder pressures collected from various sensors on the ship’s equipment. We propose data enrichment and validation techniques by generating synthetic outliers through data degradation and data augmentation with a Transformer backbone, utilizing the maritime operational data. We extract a portion of the input data and replace it with synthetic outliers. The created anomaly data are then used to train the model via a self-supervised learning approach. Synthetic outliers are generated using methods such as the arithmetic mean, geometric mean, median, local scale, global scale, and magnitude warping. With our methodology, we achieved a 17.23% improvement in F1 performance compared to existing state-of-the-art methods across five publicly available datasets and actual maritime operational data collected from the industry.
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Pradita, Rizky Indra. "Navigating Maritime Digitalization: Socioeconomic and Organizational Perspectives on Technological Transformation." Baileo: Jurnal Sosial Humaniora 2, no. 3 (2025): 320–33. https://doi.org/10.30598/baileofisipvol2iss3pp320-333.
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Maritime digitalization has become a transformative phenomenon that not only reshapes the operational landscape of the maritime industry but also has profound socioeconomic and organizational implications. This study aims to explore the impact of technological disruption on maritime management by examining digitalization dynamics through the lenses of disruptive innovation theory and the resource-based view. Employing a mixed-methods approach, this research integrates quantitative data analysis from industry reports with qualitative insights obtained through interviews and case studies of leading maritime enterprises. The findings reveal that digital technologies such as the Internet of Things (IoT), blockchain, and artificial intelligence significantly enhance operational efficiency and competitive positioning. However, the adoption of these technologies also presents complex challenges, including regulatory barriers, cybersecurity threats, and the need for workforce reskilling. This study proposes a conceptual model that illustrates the relationship between digital technologies, organizational capabilities, and market performance, providing a foundation for a deeper understanding of maritime digitalization dynamics. The novelty of this study lies in its approach, which not only highlights the technical aspects of digitalization but also examines how technological transformation affects the socioeconomic structure and work patterns within the maritime industry. The findings offer strategic recommendations for policymakers and maritime managers to navigate digital change effectively. Furthermore, this study contributes to the development of social sciences and humanities by emphasizing the interconnection between technological innovation, social change, and organizational adaptation in a historically conservative industry. Aligning technological investments with organizational strategies is a key factor in the successful digitalization of maritime operations, paving the way for future research on optimizing digital integration in maritime business management.
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Margaretha, Rita, Mohammad Syuzairi, and Mahadiansar Mahadiansar. "Digital Transformation in the Maritime Industry; Opportunities and Challenges for Indonesia." Journal of Maritime Policy Science 1, no. 1 (2024): 1–10. http://dx.doi.org/10.31629/jmps.v1i1.7003.
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Digital transformation is reshaping industries worldwide, including the maritime sector, by integrating advanced technologies to improve efficiency, safety, and sustainability. In the context of Indonesia, a country with a vast archipelago and significant maritime activities, digital transformation offers substantial opportunities but also presents distinct challenges. This paper explores the multifaceted impacts of digital transformation on Indonesia's maritime industry, examining both the opportunities and challenges that arise from this technological shift. Opportunities in the maritime sector include enhanced operational efficiency, improved safety, and better environmental management. Technologies such as the Internet of Things (IoT), big data analytics, artificial intelligence (AI), and blockchain are pivotal in optimizing logistics, predictive maintenance, and real-time monitoring of vessels and cargo. These advancements can lead to reduced operational costs, minimized human errors, and lower environmental footprints. For Indonesia, leveraging these technologies could significantly boost its competitiveness in global shipping, enhance port operations, and support the sustainable management of its extensive marine resources. However, the journey towards digital transformation in Indonesia’s maritime industry is fraught with challenges. Key issues include inadequate digital infrastructure, limited technological expertise, and regulatory hurdles. The uneven distribution of digital infrastructure across Indonesia's archipelago hampers the consistent application of advanced technologies. Additionally, the maritime workforce requires upskilling to handle new digital tools effectively, necessitating substantial investment in education and training. Regulatory frameworks also need to evolve to address data security, privacy concerns, and the integration of international standards, ensuring a seamless transition to digital operations.