Energy-Efficient Topology Control for UAV Networks

Park, Seong Joon; Kim, Hyeong Tae; Kim, Hwangnam

doi:10.3390/en12234523

Cited by 13 publications

(12 citation statements)

References 24 publications

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“…Improving energy efficiency is, to put it simply, a much more efficient use of energy to carry out the same process [50], [109], [110]. The process of energy efficiency may concern many aspects of the functioning of the network as well [111].…”

Section: Energy Efficiencymentioning

confidence: 99%

Swarm of UAVs for Network Management in 6G: A Technical Review

Khan

Kumar

Mohsan

et al. 2023

IEEE Trans. Netw. Serv. Manage.

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Fifth-generation (5G) cellular networks have led to the implementation of beyond 5G (B5G) networks, which are capable of incorporating autonomous services to swarm of unmanned aerial vehicles (UAVs). They provide capacity expansion strategies to address massive connectivity issues and guarantee ultra-high throughput and low latency, especially in extreme or emergency situations where network density, bandwidth, and traffic patterns fluctuate. On the one hand, 6G technology integrates AI/ML, IoT, and blockchain to establish ultra-reliable, intelligent, secure, and ubiquitous UAV networks. 6G networks, on the other hand, rely on new enabling technologies such as air interface and transmission technologies, as well as a unique network design, posing new challenges for the swarm of UAVs.Keeping these challenges in mind, this article focuses on the security and privacy, intelligence, and energy-efficiency issues faced by swarms of UAVs operating in 6G mobile network. In this state-of-the-art review, we integrated blockchain and AI/ML with UAV networks utilizing the 6G ecosystem. The key findings are then presented, and potential research challenges are identified. We conclude the review by shedding light on future research in this emerging field of research.

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Section: Energy Efficiencymentioning

confidence: 99%

Swarm of UAVs for Network Management in 6G: A Technical Review

Khan

Kumar

Mohsan

et al. 2023

IEEE Trans. Netw. Serv. Manage.

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“…The aim is to move from a single UAV to a multitude of UAVs organized into teams that can collaborate to meet high levels of objectives. UAV‐based ad hoc network topology management strategies are focused on Lakew et al (2020), Nomikos et al (2020), Park et al (2019), and Zhao and Braun (2012), while a systematic study on UAVs and their civilian applications are surveyed in Chaturvedi et al (2019), Hayat et al (2016), and Mohamed et al (2020). Zhang et al (2019a) described the applications, scenarios, challenges, and requirements of Aeronautical Ad hoc Networking (AANETs).…”

Section: Reported Work In the State‐of‐the‐artmentioning

confidence: 99%

Emerging UAV technology for disaster detection, mitigation, response, and preparedness

Khan

Gupta

2022

Journal of Field Robotics

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In recent years, Unmanned Aerial Vehicles (UAVs) have gained significant interest in research groups due to the wide range of applications, such as disaster surveillance and monitoring, rescue operations, military, civil, and so forth. UAVs are most often used to fulfill both user's services and requirements such as wireless communication facilities to end-users, as a relay node to extend the coverage of the core network, and so forth. UAVs are versatile in design and can cover larger areas, contrary to the Tethered Balloon and Loon Balloon systems. Generally in any natural or humanmade disaster, there is a high potential risk of damage to buildings, transport systems, communication systems, and basic services. During heavy disasters like landslides, forest fires, floods, earthquakes, and so forth, the conventional terrestrial communication system gets destroyed, and people face many problems. In this case, UAVs prove to offer a better solution to provide fast, cost-effective, easy to deploy, and secure wireless communication to the victims. But there are some issues like interference between UAVs and other base stations, coordination between UAVs, Quality of Service requirements, Size, Weight, and Power limitation, delay, coverage, positioning of UAVs, and so forth. This study article mainly highlighted these issues and try to present the recent developments of the state-of-the-art to overcome these issues. In UAV communications, with an increasing emphasis on how UAVs can be integrated with different technologies, such as the Internet of Things, Wireless Sensor Network, Heterogeneous Network, and Cloud computing. The primary aim of this article is to examine how UAVs can assist survivors in floods, earthquakes, tsunamis, or in any natural or human-made disaster situations, either in the present or soon. Also, it focused on various applications of UAVs in disaster management (DM). It underlines the significance of UAVs in DM and their advantages. It also focuses on the various issues and challenges faced by the UAV-based infrastructure and security issues and gives future directions.

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“…Since each scenario has its own metrics for evaluation (e.g., network throughput for [25]) or different constraints (e.g., [26] exploits transit network), it is inappropriate to compare the system with VMCS. Last but not least, our mission model contains network connectivity constraint, but most of path-planning studies do not consider and, and this constraint is considered independently [29], [30]. Thus, we additionally designed a centralized scheme that a central station sends moving command to the UVs by network.…”

Section: A Comparison With Centralized Schemementioning

confidence: 99%