Relevant bibliographies by topics / Maritime Internet of Things

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Maritime Internet of Things'

Author: Grafiati
Published: 5 June 2025
Last updated: 15 July 2025

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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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Dissertations / Theses on the topic "Maritime Internet of Things"

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Cheraghchi, Fatemeh. "Maritime Transportation Optimization Using Evolutionary Algorithms in the Era of Big Data and Internet of Things." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39451.

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With maritime industry carrying out nearly 90% of the volume of global trade, the algorithms and solutions to provide quality of services in maritime transportation are of great importance to both academia and the industry. This research investigates an optimization problem using evolutionary algorithms and big data analytics to address an important challenge in maritime disruption management, and illustrates how it can be engaged with information technologies and Internet of Things. Accordingly, in this thesis, we design, develop and evaluate methods to improve decision support systems (DSSs) in maritime supply chain management. We pursue three research goals in this thesis. First, the Vessel Schedule recovery Problem (VSRP) is reformulated and a bi-objective optimization approach is proposed. We employ bi-objective evolutionary algorithms (MOEAs) to solve optimization problems. An optimal Pareto front provides a valuable trade-off between two objectives (minimizing delay and minimizing financial loss) for a stakeholder in the freight ship company. We evaluate the problem in three domains, namely scalability analysis, vessel steaming policies, and voyage distance analysis, and statistically validate their performance significance. According to the experiments, the problem complexity varies in different scenarios, while NSGAII performs better than other MOEAs in all scenarios. In the second work, a new data-driven VSRP is proposed, which benefits from the available Automatic Identification System (AIS) data. In the new formulation, the trajectory between the port calls is divided and encoded into adjacent geohashed regions. In each geohash, the historical speed profiles are extracted from AIS data. This results in a large-scale optimization problem called G-S-VSRP with three objectives (i.e., minimizing loss, delay, and maximizing compliance) where the compliance objective maximizes the compliance of optimized speeds with the historical data. Assuming that the historical speed profiles are reliable to trust for actual operational speeds based on other ships' experience, maximizing the compliance of optimized speeds with these historical data offers some degree of avoiding risks. Three MOEAs tackled the problem and provided the stakeholder with a Pareto front which reflects the trade-off among the three objectives. Geohash granularity and dimensionality reduction techniques were evaluated and discussed for the model. G-S-VSRPis a large-scale optimization problem and suffers from the curse of dimensionality (i.e. problems are difficult to solve due to exponential growth in the size of the multi-dimensional solution space), however, due to a special characteristic of the problem instance, a large number of function evaluations in MOEAs can still find a good set of solutions. Finally, when the compliance objective in G-S-VSRP is changed to minimization, the regular MOEAs perform poorly due to the curse of dimensionality. We focus on improving the performance of the large-scale G-S-VSRP through a novel distributed multiobjective cooperative coevolution algorithm (DMOCCA). The proposed DMOCCA improves the quality of performance metrics compared to the regular MOEAs (i.e. NSGAII, NSGAIII, and GDE3). Additionally, the DMOCCA results in speedup when running on a cluster.
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Ijiga, Owoicho Emmanuel. "SDN-based adaptive data-enabled channel estimation in the internet of maritime things for QoS enhancement in nautical radio networks." Thesis, University of Pretoria, 2021. http://hdl.handle.net/2263/78709.

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Several heterogeneous, intelligent and distributed devices can be connected to interact with one another over the internet in what is known as the internet of things (IoT). Also, the concept of IoT can be exploited in the industrial environment for increasing the production output of goods and services and for mitigating the risk of disaster occurrences. This application of IoT for enhancing industrial production is known as industrial IoT (IIoT). More so, the benefits of IoT technology can be particularly exploited across the maritime industry in what is termed the internet of maritime things (IoMT) where sensors and actuator devices are implanted on marine equipment in order to foster the communication efficacy of nautical radio networks. Marine explorations may suffer from unwanted situations such as transactional delays, environmental degradation, insecurity, seaport congestions, accidents and collisions etc, which could arise from severe environmental conditions. As a result, there is a need to develop proper communication techniques that will improve the overall quality of service (QoS) and quality of experience (QoE) of marine users. To address these, the merits of contemporaneous technologies such as ubiquitous computing, software-defined networking (SDN) and network functions virtualization (NFV) in addition to salubrious communication techniques including emergent configurations (EC), channel estimation (CE) and communication routing protocols etc, can be utilized for sustaining optimal operation of pelagic networks. Emergent configuration (EC) is a technology that can be adapted into maritime radio networks to support the operation and collaboration of IoT connected devices in order to improve the efficiency of the connected IoT systems for maximum user satisfaction. To meet user goals, the connected devices are required to cooperate with one another in an adaptive, interoperable, and homogeneous manner. In this thesis, a survey on the concept of IoT is presented in addition to a review of IIoT systems. The applications of ubiquitous computing and SDN technology are employed to design a newfangled network architecture which is specifically propounded for enhancing the throughput of oil and gas production in the maritime ecosystem. The components of this architecture work in collaboration with one another by attempting to manage and control the exploration process of deep ocean activities especially during emergencies involving anthropogenic oil and gas spillages. Several heterogeneous, intelligent and distributed devices can be connected to interact with one another over the internet in what is known as the internet of things (IoT). Also, the concept of IoT can be exploited in the industrial environment for increasing the production output of goods and services and for mitigating the risk of disaster occurrences. This application of IoT for enhancing industrial production is known as industrial IoT (IIoT). More so, the benefits of IoT technology can be particularly exploited across the maritime industry in what is termed the internet of maritime things (IoMT) where sensors and actuator devices are implanted on marine equipment in order to foster the communication efficacy of nautical radio networks. Marine explorations may suffer from unwanted situations such as transactional delays, environmental degradation, insecurity, seaport congestions, accidents and collisions etc, which could arise from severe environmental conditions. As a result, there is a need to develop proper communication techniques that will improve the overall quality of service (QoS) and quality of experience (QoE) of marine users. To address these, the merits of contemporaneous technologies such as ubiquitous computing, software-defined networking (SDN) and network functions virtualization (NFV) in addition to salubrious communication techniques including emergent configurations (EC), channel estimation (CE) and communication routing protocols etc, can be utilized for sustaining optimal operation of pelagic networks. Emergent configuration (EC) is a technology that can be adapted into maritime radio networks to support the operation and collaboration of IoT connected devices in order to improve the efficiency of the connected IoT systems for maximum user satisfaction. To meet user goals, the connected devices are required to cooperate with one another in an adaptive, interoperable, and homogeneous manner. In this thesis, a survey on the concept of IoT is presented in addition to a review of IIoT systems. The applications of ubiquitous computing and SDN technology are employed to design a newfangled network architecture which is specifically propounded for enhancing the throughput of oil and gas production in the maritime ecosystem. The components of this architecture work in collaboration with one another by attempting to manage and control the exploration process of deep ocean activities especially during emergencies involving anthropogenic oil and gas spillages. On the other hand, CE is a utilitarian communication technique that can be exploited during maritime exploration processes which offer additional reinforcement to the capacities of the nautical radio network. This technique enables the receivers of deep-sea networks to efficiently approximate the channel impulse response (CIR) of the wireless communication channel so that the effects of the communication channel on the transmitting aggregated cluster head information can be proficiently understood and predicted for useful decision-making procedures. Two CE schemes named inter-symbol interference/ average noise reduction (ISI/ANR) and reweighted error-reducing (RER) are designed in this study for estimating maritime channels for supporting the communication performances of nautical radio networks in both severe and light-fading environmental conditions. In the proposed RER method, the Manhattan distance of the CIR of an orthodox adaptive estimator is taken, which is subsequently normalised by a stability constant ɛ whose responsibility is for correcting any potential numerical system instability that may arise during the updating stages of the estimation process. To decrease the received signal error, a log-sum penalty function is eventually multiplied by an adjustable leakage (ɛ ) ̈that provides additional stability to the oscillating channel behaviour. The performance of the proposed RER method is further strengthened and made resilient against channel effects by the introduction of a reweighting attractor that further contracts the mean square error of this proposed estimator. In the ISI/ANR technique, the effects of possible ISI that may arise from maritime transmissions is considered and transformed using a low-pass filter that is incorporated for eliminating the effects of channel noise possible effects of multipath propagation. The RER scheme offered superior CE performances in comparison to other customary techniques such as the adaptive recursive least squares and normalised least mean square method in addition to conventional linear approaches such as least squares, linear minimum mean square error and maximum-likelihood estimation method. The proposed ISI/ANR technique offered an improved MSE performance in comparison to all considered linear methods. Finally, from this study, we were able to establish that accurate CE methods can improve the QoS and QoE of nautical radio networks in terms of network data rate and system outage probability.<br>Thesis (PhD (Computer Engineering))--University of Pretoria, 2021.<br>University of Pretoria Doctoral research grant, South African National Research Foundation/Research and Innovation Support and Advancement (NRF/RISA) research grant. Center for Connected Intelligence, Advanced Sensor Networks research group, University of Pretoria.<br>Electrical, Electronic and Computer Engineering<br>PhD (Computer Engineering)<br>Unrestricted
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ALINAM, MORTAZA. "Interactive Experience Design: Integrated and Tangible Storytelling with Maritime Museum Artefacts." Doctoral thesis, Università degli studi di Genova, 2022. https://hdl.handle.net/11567/1097215.

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Museums play the role of intermediary between cultural heritage and visitors, and are often described as places and environments for education and enjoyment. The European Union also encourages innovative uses of museums to support education through the cultural heritage resources. However, the importance of visitors’ active role in museums as places for education and entertainment, on the one hand, and the growing and indispensable presence of technology in the cultural heritage domain, on the other hand, provided the initial ideas to develop the research. This thesis, presents the study and design for an interactive storytelling installation for a maritime museum. The installation is designed to integrate different museum artefacts into the storytelling system to enrich the visitors experience through tangible storytelling. The project was conducted in collaboration with another PhD student, Luca Ciotoli. His contribution was mainly focused on the narrative and storytelling features of the research, while my contribution was focused on the interaction- and technology-related features, including the design and implementation of the prototype. The research is deployed using a four-phase iterative approach. The first phase of the research, Study, deals with literature review and different studies to identify the requirements. The second phase, Design, determines the broad outlines of the project i.e., an interactive storytelling installation. The design phase includes interaction and museum experience design. We investigated different design approaches, e.g., interaction and museum experience design, to develop a conceptual design. The third phase, prototype, allows us to determine how to fulfill the tasks and meet the requirements that are established for the research. Prototyping involves content creation, storyboarding, integrating augmented artefacts into the storytelling system. Th final phase, test, refers to the evaluations that are conducted during the aforementioned phases e.g., formative and the final usability testing with users. The outcome of the research confirms previous results in the literature about how digital narratives can be enriched with the tangible dimension, moreover it shows how this dimension can enable to communicate stories and knowledge of the past that are complex, such as the art of navigating in the past, by integrating tangible objects that play different roles in the storytelling process.
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Piškula, David. "Internet of Things." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-399196.

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This thesis focuses on the Internet of Things and some of the most important problems it faces today. Among these are the overdependence on the Cloud and lack of autonomy, poor security and privacy, complicated initialization and power consumption. The work aims to implement a complex IoT solution that solves the discussed problems. The project is part of a collaboration with NXP Semicondutors and will be used to showcase the company's technologies.
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Vitale, Clemente. "Internet of Things." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/3184/.

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Poggi, Giovanni. "Internet of Medical Things." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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In questa tesi, si partirà con un'introduzione generale all'Internet of Things focalizzando l'attenzione sulla struttura generale dell'architettura ed il suo funzionamento di base in una rete con molti altri dispositivi. Seguirà l'analisi del trend di questa tecnologia e la sua evoluzione nel tempo, con particolare attenzione all'architettura ed al suo successo ai giorni nostri. Verrà discussa l'industrializzazione che ha portato alla creazione delle Industrie 4.0, ovvero l'Internet of Things in ambito sensoristica applicato all'industria, alla robotica, ai Big Data che si occupano dell'archiviazione, all'acquisizione e all'analisi dei dati provenienti dai vari dispositivi, ai sistemi ciberfisici, alla connessione di tutti questi oggetti tra loro per la comunicazione e lo scambio delle informazioni ed infine alla realtà aumentata per il supporto nei vari processi industriali. Questi macroargomenti saranno lo spunto per introdurre il concetto di Internet of Medical Things. Con una breve panoramica sugli ospedali al giorno d'oggi, si vuol proporre una nuova concezione di ospedale dove vengono poste al centro dell'attenzione le esigenze del paziente e del personale medico, trattando nello specifico le tecnologie impiegate, i processi chirurgici, clinici e l’erogazione delle prestazioni sanitarie. Il discorso seguirà focalizzando l'attenzione anche su ambienti della medicina come la chirurgia, introducendo un luogo in cui migliaia di dispositivi connessi alla rete comunicano tra di loro. Si vedranno anche tutte le eventuali criticità e le varie sfide che bisognerà risolvere ed intraprendere per arrivare ad un corretto ed efficiente passaggio agli odierni ospedali concepiti per essere ospedali 4.0. Si concluderà con una riflessione su tutte queste tecnologie e la rivoluzione in ambito medico che promette cambiamenti che porteranno al nuovo concetto di Ospedale 4.0 su un’ottica di Internet of Medical Things.
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Carlsson, Simon, and Max Näf. "Internet of Things Hacking." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239366.

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As the Internet of Things is gaining more traction in the market, people are becoming more comfortable with having their daily equipment connected to the internet, fewer are taking the security aspect seriously. By attempting an attack on the Telia Sense, an IoT device connected to a car, it is shown how an attacker could try to compromise this type of system and how developers and engineers in the field can test their devices. Information from the device was obtained, including debug information and program code. Telia Sense was found to be a well secured device with a lot of thought and consideration given towards cyber security, therefore a successful attack was not able to be performed. However, the methods and procedures described in this paper are still valid and does aid in securing a device.
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Ревуцький, Микола Вячеславович. "Internet of Things: What about the Security of Things?" Thesis, Київський національний університет технологій та дизайну, 2017. https://er.knutd.edu.ua/handle/123456789/7329.

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Song, Yuanjun. "Security in Internet of Things." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-142451.

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The Internet of Things (IoT) is emerging the Internet and other networks with wireless technologies to make physical objects interact online. The IoT has developed to become a promising technology and receives significant research attention in recent years because of the development of wireless communications and micro-electronics.  Like other immature technological inventions, although IoT will promise their users a better life in the near future, it is a security risk, especially today the privacy is increasingly concerned by people. The key technologies of IoT are not yet mature. Therefore the researches and applications of the IoT are in the early stage. In order to make the IoT pervade people’s everyday life, the security of the IoT must be strengthened. In this thesis, first, the IoT is compared with the Internet. Though the IoT is based on the Internet, due to the characteristics of the IoT, those mature end-to-end security protocols and protective measures in the Internet can not directly provide the end-to-end data security through the perceptual layer, the transport layer the and application layer. For the IoT security addressing issues (such as the Internet DNS attack), this thesis proposes the IoT addressing security model. The traditional access control and the identity authentication only works in the same layer. The IoT addressing security model designed in this thesis effectively solves the issues of vertically passing the authentication results in the addressing process without changing the protocols for two communication parties. Besides, this thesis provides the object access control and privacy protection from the object application layer addressing, DNS addressing and IP addressing phases. Finally, combining the IoT object addressing security model with practical application scenario, this thesis designs the IoT object security access model. In this model, the access requester can access objects in different domains through a single sign-on. This model provides the protection for the end-to-end communication between the access requester and object.
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Cobârzan, Cosmin. "Internet of highly mobile things." Thesis, Strasbourg, 2015. http://www.theses.fr/2015STRAD037/document.

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La mobilité devienne un partie intégrante de l’Internet des Object d’aujourd’hui, comme beaucoup d’applications (monitorage des animaux sauvage, suivi des cible dans le champs de bataille) sont impossible de mettre en œuvre juste avec des nœuds statiques. L’objective de cette thèse est de définir une nouvelle architecture de communication articule autour de la mobilité dans les réseaux avec pertes et à bas puissance (Low Power and Lossy Networks - LLNs) (réseaux des capteurs sans fils). Tout d’abord, nous avons analysé théoriquement l’auto configuration des adresses IPv6, fait avec toutes les optimisations disponibles dans Neighbor Discovery Optimization for IPv6 over 6LoWPAN. Cette étape est cruciale pour des protocoles qui donnent de support pour la mobilité dans des réseaux IP, comme MIPv6. Les résultats obtenues – taille des paquets trop grande et consumations énergétique importante pour les routeurs qui tournent Neighbor Discovery – n’ont amener a utiliser le IPv6 Routing Protocol for Low Power and Lossy Networks (RPL). RPL est développe d’el debout pour les LLN. Notre deuxième contribution sont améliorer les opérations du RPL pour mieux supporter les nœuds mobiles. Enfin, nous avons développe une mécanisme inter-couche – Mobility Triggered-RPL – qui profite des actions dans le protocole avec préambule X-Machiavel à la couche accès au medium dans le protocole RPL à la couche routage<br>Mobility is becoming an integrating part of todays Internet of Things, as many applications such as wildlife monitoring or target tracking in the battlefield cannot be done only with the help of static nodes. The goal of this thesis is to provide new communication architecture articulated around providing mobility support in Low Power and Lossy Networks (LLNs). First we analyzed from a theoretical point of view the IPv6 address auto-configuration with all optimizations made in Neighbor Discovery Optimization for IPv6 over 6LoWPAN. This step is of crucial importance for protocols that offer mobility support in IP networks, such as MIPv6. Our findings, increased message size that leads to fragmentation and high energy consumption for routers that are involved in Neighbor Discovery message exchange, have lead us to use the IPv6 Routing Protocol for Low Power and Lossy Networks (RPL) in order to provide mobility support. RPL is build from ground up with respect to LLN requirements. Our second contribution enhanced RPL operations to support mobility management. Finally, we proposed a cross-layer protocol – Mobility Triggered-RPL – that leverages actions from the X-Machiavel preamble sampling MAC protocol into RPL
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Books on the topic "Maritime Internet of Things"

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Wang, Michael Mao, and Jingjing Zhang. Machine-Type Communication for Maritime Internet-of-Things. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77908-5.

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García Márquez, Fausto Pedro, and Benjamin Lev, eds. Internet of Things. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70478-0.

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Rana, Arun Kumar, Ayodeji Olalekan Salau, Sharad Sharma, Shubham Tayal, and Swati Gupta. Internet of Things. CRC Press, 2021. http://dx.doi.org/10.1201/9781003140443.

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Rana, Arun Kumar, Nitin Goyal, Sharad Sharma, and Suman Lata Tripathi. Internet of Things. CRC Press, 2022. http://dx.doi.org/10.1201/9781003181613.

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Bhushan, Bharat, Sudhir Kumar Sharma, Bhuvan Unhelkar, Muhammad Fazal Ijaz, and Lamia Karim. Internet of Things. CRC Press, 2022. http://dx.doi.org/10.1201/9781003219620.

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Khan, Mohammad Ayoub. Internet of Things. CRC Press, 2022. http://dx.doi.org/10.1201/9781003122357.

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Saxena, Sandeep, and Ashok Kumar Pradhan, eds. Internet of Things. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1585-7.

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Friess, Peter, and Ovidiu Vermesan. Internet of Things. River Publishers, 2022. http://dx.doi.org/10.1201/9781003338659.

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Wang, Yongheng, and Xiaoming Zhang, eds. Internet of Things. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32427-7.

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Cirani, Simone, Gianluigi Ferrari, Marco Picone, and Luca Veltri. Internet of Things. John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119359715.

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Book chapters on the topic "Maritime Internet of Things"

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Shapo, Vladlen. "Distance Learning System Application for Maritime Specialists Preparing and Corresponding Challenges Analyzing." In Online Engineering & Internet of Things. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64352-6_97.

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Shapo, Vladlen, and Maksym Levinskyi. "Means of Cyber Security Aspects Studying in Maritime Specialists Education." In Internet of Things, Infrastructures and Mobile Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49932-7_38.

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Wang, Michael Mao, and Jingjing Zhang. "Air Interface." In Machine-Type Communication for Maritime Internet-of-Things. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77908-5_5.

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Wang, Michael Mao, and Jingjing Zhang. "Concluding Remarks." In Machine-Type Communication for Maritime Internet-of-Things. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77908-5_10.

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Wang, Michael Mao, and Jingjing Zhang. "Satellite Air Interface Design." In Machine-Type Communication for Maritime Internet-of-Things. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77908-5_9.

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Wang, Michael Mao, and Jingjing Zhang. "System Architecture." In Machine-Type Communication for Maritime Internet-of-Things. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77908-5_2.

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Wang, Michael Mao, and Jingjing Zhang. "Radio Spectrum." In Machine-Type Communication for Maritime Internet-of-Things. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77908-5_6.

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Wang, Michael Mao, and Jingjing Zhang. "Introduction." In Machine-Type Communication for Maritime Internet-of-Things. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77908-5_1.

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Wang, Michael Mao, and Jingjing Zhang. "Terrestrial Air Interface Design." In Machine-Type Communication for Maritime Internet-of-Things. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77908-5_8.

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Wang, Michael Mao, and Jingjing Zhang. "Proximity Air Interface Design." In Machine-Type Communication for Maritime Internet-of-Things. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77908-5_7.

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Conference papers on the topic "Maritime Internet of Things"

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Ma, Yuting, Erol Gelenbe, and Kezhong Liu. "IoT Performance for Maritime Passenger Evacuation." In 2024 IEEE 10th World Forum on Internet of Things (WF-IoT). IEEE, 2024. https://doi.org/10.1109/wf-iot62078.2024.10811235.

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Zhang, Chuanyangzhi, Zezhong Sun, Ning Jiang, and Shi Yan. "AoI-Oriented Information Freshness Performance Analysis in Maritime Internet of Things." In 2024 IEEE/CIC International Conference on Communications in China (ICCC Workshops). IEEE, 2024. http://dx.doi.org/10.1109/icccworkshops62562.2024.10693790.

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Li, Jialong, Jin Liu, Zhongdai Wu, and Junxiang Wang. "FL-CGF: An Edge-Federated Learning-Based Intelligent Intrusion Detection Framework for Heterogenous Maritime Internet of Things." In 2024 5th International Conference on Computer, Big Data and Artificial Intelligence (ICCBD+AI). IEEE, 2024. https://doi.org/10.1109/iccbd-ai65562.2024.00030.

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Genkov, Delyan, and Nikolay Manchev. "Internet of Things − Internet of Coffee Machines." In 2024 5th International Conference on Communications, Information, Electronic and Energy Systems (CIEES). IEEE, 2024. https://doi.org/10.1109/ciees62939.2024.10811231.

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Nešković, Đorđe, Marko Marković, Lara Kašca, and Dejan Drajić. "Analysis of Maritime Positioning Techniques for use in Maritime Internet of Things Systems." In 2024 23rd International Symposium INFOTEH-JAHORINA (INFOTEH). IEEE, 2024. http://dx.doi.org/10.1109/infoteh60418.2024.10495973.

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Nomikos, Nikolaos, Anastasios Giannopoulos, Panagiotis Trakadas, and George K. Karagiannidis. "Uplink NOMA for UAV-Aided Maritime Internet-of-Things." In 2023 19th International Conference on the Design of Reliable Communication Networks (DRCN). IEEE, 2023. http://dx.doi.org/10.1109/drcn57075.2023.10108290.

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Sarker, Kamal Uddin, Aziz Bin Deraman, Raza Hasan, Ali Abbas, and Marfa Azhari Ahmed. "Industrial internet of things software architecture for maritime industries." In 1ST INTERNATIONAL POSTGRADUATE CONFERENCE ON OCEAN ENGINEERING TECHNOLOGY AND INFORMATICS 2021 (IPCOETI 2021). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0109973.

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Osen, Ottar L., Hao Wang, Karina B. Hjelmervik, and Halvor Schoyen. "Organizing data from industrial internet of things for maritime operations." In OCEANS 2017 - Aberdeen. IEEE, 2017. http://dx.doi.org/10.1109/oceanse.2017.8084749.

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Song, Yujae, Huicheol Shin, Seong Ho Chae, and Yongjae Kim. "Implementation of Internet of Maritime Things Platform in the Ocean." In 2022 13th International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2022. http://dx.doi.org/10.1109/ictc55196.2022.9952799.

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Rahimi, Payam, Chrysostomos Chrysostomou, Ioannis Kyriakides, and Vasos Vassiliou. "An Energy-Efficient Machine-Type Communication for Maritime Internet of Things." In 2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). IEEE, 2020. http://dx.doi.org/10.1109/iemcon51383.2020.9284882.

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Reports on the topic "Maritime Internet of Things"

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Balakrishna Rao, Vismayashree. Internet of Things. Iowa State University, 2019. http://dx.doi.org/10.31274/cc-20240624-918.

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Sahlin, Bengt. Internet of Things and Security. River Publishers, 2016. http://dx.doi.org/10.13052/popcas003.

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Kahn, Alison, Marc Leh, and Brianna Vendetti. Internet of things workshop report. National Institute of Standards and Technology, 2019. http://dx.doi.org/10.6028/nist.sp.2100-01.

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Latorre, Lucia, Eduardo Rego, and Lorenzo De Leo. Tech Report: Internet of Things. Inter-American Development Bank, 2025. https://doi.org/10.18235/0013422.

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Abstract:
The following report delves into the essential components that make up IoT systems, illustrative examples of the IoT in action, and its broad spectrum of applications spanning multiple industries, highlighting the tangible benefits it delivers. Furthermore, it addresses the burgeoning IoT landscape in Latin America and the Caribbean, underscoring the unique opportunities and challenges faced in the region. The discussion also covers critical considerations surrounding IoT security, ethics, and the challenges and risks inherent to its deployment. Best practices for implementing IoT solutions are shared to guide organizations in navigating this complex yet promising field responsibly. Concluding with a glimpse into future trends, the article aims to equip readers with a comprehensive understanding of the IoT, its vast potential, and the ethical framework required for its responsible implementation.
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Mudunuru, Maruti Kumar, and Mary Beth Cernicek. An Internet of Things Commercial Opportunity. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1463528.

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Ali, Mohamed. Internet of things medical devices cybersecurity. Iowa State University, 2020. http://dx.doi.org/10.31274/cc-20240624-920.

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Mudunuru, Maruti Kumar. IoGET: Internet of Geophysical and Environmental Things. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1369163.

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Decker, Brett. Tierless Programming for the Internet of Things. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1169934.

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Greer, Christopher, Martin Burns, David Wollman, and Edward Griffor. Cyber-physical systems and internet of things. National Institute of Standards and Technology, 2019. http://dx.doi.org/10.6028/nist.sp.1900-202.

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Boyanov, Luben. Internet of Things Reference Architecture Proto type. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2021. http://dx.doi.org/10.7546/crabs.2021.07.11.

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