Prototype Design and Experimental Evaluation of Autonomous Collaborative Communication System for Emerging Maritime Use Cases

Pokorny, Jiri; Ma, Khanh; Saafi, Salwa; Frolka, Jakub; Villa, J.L.; Gerasimenko, Mikhail; Koucheryavy, Yevgeni; Hošek, Jiří

doi:10.3390/s21113871

Cited by 7 publications

(5 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The analysis included large-scale and small-scale channel characteristics, including path-loss, shadow fading, and multipath fading. In [132], an experimental study is presented concerning the deployment of a USV and a UAV in an autonomous collaborative communication system. To this end, two communication scenarios are evaluated, the first one including a direct link among the TBS and the USV, while the second one considers the UAV as a relay node with respect to the aforementioned link.…”

Section: Experimental Studiesmentioning

confidence: 99%

A Survey on UAV-Aided Maritime Communications: Deployment Considerations, Applications, and Future Challenges

Νομικός

Gkonis

Bithas

et al. 2023

IEEE Open J. Commun. Soc.

View full text Add to dashboard Cite

Maritime activities represent a major domain of economic growth with several emerging maritime Internet of Things use cases, such as smart ports, autonomous navigation, and ocean monitoring systems. The major enabler for this exciting ecosystem is the provision of broadband, low-delay, and reliable wireless coverage to the ever-increasing number of vessels, buoys, platforms, sensors, and actuators. Towards this end, the integration of unmanned aerial vehicles (UAVs) in maritime communications introduces an aerial dimension to wireless connectivity going above and beyond current deployments, which are mainly relying on shore-based base stations with limited coverage and satellite links with high latency. Considering the potential of UAV-aided wireless communications, this survey presents the state-of-the-art in UAV-aided maritime communications, which, in general, are based on both conventional optimization and machine-learning-aided approaches. More specifically, relevant UAV-based network architectures are discussed together with the role of their building blocks. Then, physical-layer, resource management, and cloud/edge computing and caching UAV-aided solutions in maritime environments are discussed and grouped based on their performance targets. Moreover, as UAVs are characterized by flexible deployment with high re-positioning capabilities, studies on UAV trajectory optimization for maritime applications are thoroughly discussed. In addition, aiming at shedding light on the current status of real-world deployments, experimental studies on UAV-aided maritime communications are presented and implementation details are given. Finally, several important open issues in the area of UAV-aided maritime communications are given, related to the integration of sixth generation (6G) advancements. These future challenges include physical-layer aspects, non-orthogonal multiple access schemes, radical learning paradigms for swarms of UAVs and unmanned surface and underwater vehicles, as well as UAV-aided edge computing and caching.

show abstract

Section: Experimental Studiesmentioning

confidence: 99%

A Survey on UAV-Aided Maritime Communications: Deployment Considerations, Applications, and Future Challenges

Νομικός

Gkonis

Bithas

et al. 2023

IEEE Open J. Commun. Soc.

View full text Add to dashboard Cite

show abstract

“…Moving forward, significant efforts which are highly viewed as the most viable solution are currently being developed, which relate to the integration of multiple types of UVs that can be implemented to collaboratively perform unmanned OWT IMR (e.g., UAV and USV [44][45][46][47][48][49][50][51][52][53], USV and UUV [54][55][56][57], UAV and UUV [58,59], or a combination of all UVs [60][61][62][63]). In addition, the use of crawler robots has also been proposed in this collaborative system to increase the capability and flexibility of WT maintenance and repairs [24].…”

Section: The State-of-the-art Of Uvs Performing In Owt Imr Operationsmentioning

confidence: 99%

“…There are many collaborative strategies between UVs that can be planned and implemented for unmanned OWT IMR operations. In most cases, the involvement of a USV in any collaboration will assist a UAV or UUV in terms of functioning as a docking and power charging station [50,80], providing extra computing power and data storage capacity [60,61], as a communication hub between all other UVs and GCS [25,51], as well as providing a reliable localization and navigation system [60], as will be further discussed in this section. Table 3 presents a summary of the benefits and challenges associated with different collaboration strategies.…”

Section: End Effector Ref Special Features Potential Collaboration/ad...mentioning

confidence: 99%

Collaborative Unmanned Vehicles for Inspection, Maintenance, and Repairs of Offshore Wind Turbines

Nordin

Sharma

Khan

et al. 2022

Drones

View full text Add to dashboard Cite

Operations and maintenance of Offshore Wind Turbines (OWTs) are challenging, with manual operators constantly exposed to hazardous environments. Due to the high task complexity associated with the OWT, the transition to unmanned solutions remains stagnant. Efforts toward unmanned operations have been observed using Unmanned Aerial Vehicles (UAVs) and Unmanned Underwater Vehicles (UUVs) but are limited mostly to visual inspections only. Collaboration strategies between unmanned vehicles have introduced several opportunities that would enable unmanned operations for the OWT maintenance and repair activities. There have been many papers and reviews on collaborative UVs. However, most of the past papers reviewed collaborative UVs for surveillance purposes, search and rescue missions, and agricultural activities. This review aims to present the current capabilities of Unmanned Vehicles (UVs) used in OWT for Inspection, Maintenance, and Repair (IMR) operations. Strategies to implement collaborative UVs for complex tasks and their associated challenges are discussed together with the strategies to solve localization and navigation issues, prolong operation time, and establish effective communication within the OWT IMR operations. This paper also briefly discusses the potential failure modes for collaborative approaches and possible redundancy strategies to manage them. The collaborative strategies discussed herein will be of use to researchers and technology providers in identifying significant gaps that have hindered the implementation of full unmanned systems which have significant impacts towards the net zero strategy.

show abstract

“…Current research methodologies in UAV swarm cooperative networks often fall short in meeting the real-time needs of large-scale UAV swarms and intricate dynamic environments [14][15][16][17]. Typically, these methods rely on fixed network topologies and predefined UAV states, which are subject to continual variation in real-world settings [18]. Furthermore, the optimization process frequently demands substantial computational resources, rendering it impractical for actual applications [19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Distributed Computing Optimization in Unmanned Aerial Vehicle Swarm Cooperative Networks

Luo,

Zhang,

Shi

et al. 2024

CIT. J. comput. inf. technol

View full text Add to dashboard Cite

The Unmanned Aerial Vehicle (UAV) swarm cooperative networks across diverse domains present significant challenges in management and control to maximize collaborative efficiency, particularly in applications for large-scale and dynamic environments where real-time coordination is essential. This challenge has led to the development of a UAV swarm cooperative network flow prediction model, facilitating the strategic anticipation of network dynamics. A novel algorithm for distributed, finite-time cooperative control is introduced, grounded in this model. This algorithm optimizes the operational efficiency and control precision of UAV systems, while simultaneously augmenting the collaborative efficiency and stability of the UAV swarms. It marks a significant advancement in distributed computing strategies, offering a viable solution for the real-time coordination challenges in extensive UAV swarm cooperative networks. The proposed approach leverages multi-agent technology, integrating spatial-temporal constraints, location limitations, and path selection in cooperative behavior for dynamic and effective network management. This study not only enhances the understanding of UAV swarm dynamics but also contributes to the practical application of UAV swarms in areas requiring precise coordination and robust network stability.

show abstract

Prototype Design and Experimental Evaluation of Autonomous Collaborative Communication System for Emerging Maritime Use Cases

Cited by 7 publications

References 24 publications

A Survey on UAV-Aided Maritime Communications: Deployment Considerations, Applications, and Future Challenges

A Survey on UAV-Aided Maritime Communications: Deployment Considerations, Applications, and Future Challenges

Collaborative Unmanned Vehicles for Inspection, Maintenance, and Repairs of Offshore Wind Turbines

Distributed Computing Optimization in Unmanned Aerial Vehicle Swarm Cooperative Networks

Contact Info

Product

Resources

About