Marine IoT Systems With Space–Air–Sea Integrated Networks: Hybrid LEO and UAV Edge Computing

Jung, Sooyeob; Jeong, Shinkyu; Kang, Jinkyu; Kang, Joonhyuk

doi:10.1109/jiot.2023.3287196

Cited by 17 publications

(4 citation statements)

References 35 publications

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“…Additionally, studies have focused on addressing security concerns in these areas, including privacy-preserving data sharing, explainable AI, and motion tracking. Collectively, these research efforts contribute to a comprehensive understanding of IoT technologies and their applications in diverse fields [43][44][45][46][47][48][49][50][51].…”

Section: Introductionmentioning

confidence: 99%

Unleashing the Power of IoT: A Comprehensive Review of IoT Applications and Future Prospects in Healthcare, Agriculture, Smart Homes, Smart Cities, and Industry 4.0

Chataut,

Phoummalayvane,

Akl

2023

Sensors

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The Internet of Things (IoT) technology and devices represent an exciting field in computer science that is rapidly emerging worldwide. The demand for automation and efficiency has also been a contributing factor to the advancements in this technology. The proliferation of IoT devices coincides with advancements in wireless networking technologies, driven by the enhanced connectivity of the internet. Today, nearly any everyday object can be connected to the network, reflecting the growing demand for automation and efficiency. This paper reviews the emergence of IoT devices, analyzed their common applications, and explored the future prospects in this promising field of computer science. The examined applications encompass healthcare, agriculture, and smart cities. Although IoT technology exhibits similar deployment trends, this paper will explore different fields to discern the subtle nuances that exist among them. To comprehend the future of IoT, it is essential to comprehend the driving forces behind its advancements in various industries. By gaining a better understanding of the emergence of IoT devices, readers will develop insights into the factors that have propelled their growth and the conditions that led to technological advancements. Given the rapid pace at which IoT technology is advancing, this paper provides researchers with a deeper understanding of the factors that have brought us to this point and the ongoing efforts that are actively shaping the future of IoT. By offering a comprehensive analysis of the current landscape and potential future developments, this paper serves as a valuable resource to researchers seeking to contribute to and navigate the ever-evolving IoT ecosystem.

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Section: Introductionmentioning

confidence: 99%

Unleashing the Power of IoT: A Comprehensive Review of IoT Applications and Future Prospects in Healthcare, Agriculture, Smart Homes, Smart Cities, and Industry 4.0

Chataut,

Phoummalayvane,

Akl

2023

Sensors

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“…It describes the emergence of SSNs (Space Sensor Networks) that work with micro-satellites and CubeSats to create a network of satellites (or satellite constellations) that allow for remote sensing, in areas with little to no internet connectivity. A similar study [61] discusses the use of LEO (Low-Earth Orbits) satellite with UAV and Edge Computing framework to provide connectivity within the NTNs (Non-Terrestrial Networks), enabling an efficient Space-Air-Sea integrated network.…”

Section: Previous Studies Of Iot Implementation In Aerospacementioning

confidence: 99%

Applications of Internet of Things (IoT) in the Aerospace Industry

Jain,

Seth,

Singh

et al. 2024

Int. J. Res. Publ. Rev.

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As we transition to a technology-driven age, it is essential for us to understand the various technologies working behind it, across various industries. The aerospace industry is one such industry that has been massively impacted by the new-age technologies. This study aimed to explore the implementation of one such technology -Internet of Things (IoT) in the Aerospace industry. The study adopted a qualitative, secondary research design which fetched data from published sources (books, news snippets, publications, industry, and company reports) to conduct a thematic and comparative analysis of IoT implementation in the Aerospace industry. The thematic analysis segmented various applications of IoT across 7 segments -Supply Chain, Aero-Manufacturing, ITeS, Research and Development, Avionics, Aero-Operations and MRO (Maintenance, Repair and Overhaul). The comparative analysis studied the variation in applications across the two major sub-industries -Aeronautics and Astronautics. The research conclusively determined the plethora of IoT implementation happening across the segments and sub-industries, while also exploring its challenges and future opportunities.

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“…The work in [ 11 ] integrated UAVs with LEO satellites in emergency areas without ground facilities to meet the QoS requirements of different users. The work in [ 22 ] analyzed LEO satellite access time, and the LEO satellite orbit direction mainly affects the path planning of the UAV and minimizes the total energy consumption. In [ 23 ], the authors employed multiple UAVs as relays, for which deployments and relay schedules were optimized for maximizing the system’s energy efficiency along with the power allocation.…”

Section: Introductionmentioning

confidence: 99%

An Adjustable Wireless Backhaul Link Selection Algorithm for LEO-UAV-Sensor-Based Internet of Remote Things Network

Chen,

Wang,

2024

Sensors

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Internet of Remote Things (IoRT) networks utilize the backhaul links between unmanned aerial vehicles (UAVs) and low-earth-orbit (LEO) satellites to transfer the massive data collected by sensors. However, the backhaul links change rapidly due to the fast movement of both the UAVs and the satellites, which is different from conventional wireless networks. Additionally, due to the various requirements of IoRT multiservices, the system performance should be comprehensively considered. Thus, an adjustable wireless backhaul link selection algorithm for a LEO-UAV-sensor-based IoRT network is proposed. Firstly, an optimization model for backhaul link selection is proposed. This model uses Q, which integrates the remaining service time and capacity as the objective function. Then, based on the snapshot method, the dynamic topology is converted into the static topology and a heuristic optimization algorithm is proposed to solve the backhaul link selection problem. Finally, the proposed algorithm is compared with two traditional algorithms, i.e., maximum service time and maximum capacity algorithms. Numerical simulation results show that the proposed model can achieve better system performance, and the overload of the satellites is more balanced. The algorithm can obtain a trade-off between remaining service time and capacity by dynamically adjusting model parameters. Thus, the adjustable backhaul link selection algorithm can apply to multiservice IoRT scenarios.

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Marine IoT Systems With Space–Air–Sea Integrated Networks: Hybrid LEO and UAV Edge Computing

Cited by 17 publications

References 35 publications

Unleashing the Power of IoT: A Comprehensive Review of IoT Applications and Future Prospects in Healthcare, Agriculture, Smart Homes, Smart Cities, and Industry 4.0

Unleashing the Power of IoT: A Comprehensive Review of IoT Applications and Future Prospects in Healthcare, Agriculture, Smart Homes, Smart Cities, and Industry 4.0

Applications of Internet of Things (IoT) in the Aerospace Industry

An Adjustable Wireless Backhaul Link Selection Algorithm for LEO-UAV-Sensor-Based Internet of Remote Things Network

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