Optimizing Hybrid Energy Harvesting Mechanisms for UAVs

Quyen, Toan V.; Nguyen, Cuong V.; Le, Anh M.; Nguyen, Minh Tuan

doi:10.4108/eai.13-7-2018.164629

Cited by 9 publications

(7 citation statements)

References 8 publications

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“…Numerous studies have been conducted on portable devices or wireless sensor network systems harvesting their energy independently of conventional batteries. In a study conducted to power UAVs, a mixed energy harvester containing radio frequency and solar energy was proposed, and an output voltage of 23.2 V, sufficient to meet the battery requirement of the aerial vehicle, was obtained [13]. A study on piezoelectric energy harvesters tested the designed harvester theoretically and experimentally.…”

Section: Energy Harvesting Methodsmentioning

confidence: 99%

Electromagnetic Energy Harvester Design for Power Transmission Line

DALCALI¹,

BALCI²,

Sakar³

2022

tjes

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Parallel to the increase in energy demand, the importance of energy transmission lines is also increasing. In order for energy transmission to be carried out correctly, transmission lines must operate uninterruptedly. Therefore, it is important to inspect and monitor the lines and to intervene immediately in case of any fault. The use of Unmanned Aerial Vehicles (UAV) for the inspection and monitoring of these lines provides advantages in terms of both safety and cost. In the study, the design and analysis of electromagnetic energy harvesters have been made in order to provide energy to UAVs. Firstly, the mathematical modeling of the core has been presented. Electromagnetic energy harvesters designed based on this model have been analyzed using the Finite Element Method (FEM). The performances of toroidal magnetic energy harvesters have been investigated according to core size, material properties, air gap and line current. According to the results obtained from the analyzes, the harvester with the best size/energy density has been determined

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Section: Energy Harvesting Methodsmentioning

confidence: 99%

Electromagnetic Energy Harvester Design for Power Transmission Line

DALCALI¹,

BALCI²,

Sakar³

2022

tjes

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“…In electromagnetic waves-based energy harvesting (e.g., RF energy harvesting), the transmitter coverts some of the direct current (DC) from its battery into the RF energy to be transmitted. At the receiver, the received RF energy is converted back to DC and amplified using matching and rectifier circuits [305], then used to charge the on-board battery or directly used to power decoding or other communications operation. The efficiency of these RF-DC conversions significantly affects the amount of energy harvested.…”

Section: Energy Harvesting Technologiesmentioning

confidence: 99%

A Survey on Energy Optimization Techniques in UAV-Based Cellular Networks: From Conventional to Machine Learning Approaches

Abubakar

Ahmad

Omeke

et al. 2023

Drones

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Wireless communication networks have been witnessing unprecedented demand due to the increasing number of connected devices and emerging bandwidth-hungry applications. Although there are many competent technologies for capacity enhancement purposes, such as millimeter wave communications and network densification, there is still room and need for further capacity enhancement in wireless communication networks, especially for the cases of unusual people gatherings, such as sport competitions, musical concerts, etc. Unmanned aerial vehicles (UAVs) have been identified as one of the promising options to enhance capacity due to their easy implementation, pop-up fashion operation, and cost-effective nature. The main idea is to deploy base stations on UAVs and operate them as flying base stations, thereby bringing additional capacity where it is needed. However, UAVs mostly have limited energy storage, hence, their energy consumption must be optimized to increase flight time. In this survey, we investigate different energy optimization techniques with a top-level classification in terms of the optimization algorithm employed—conventional and machine learning (ML). Such classification helps understand the state-of-the-art and the current trend in terms of methodology. In this regard, various optimization techniques are identified from the related literature, and they are presented under the above-mentioned classes of employed optimization methods. In addition, for the purpose of completeness, we include a brief tutorial on the optimization methods and power supply and charging mechanisms of UAVs. Moreover, novel concepts, such as reflective intelligent surfaces and landing spot optimization, are also covered to capture the latest trends in the literature.

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“…Others suggested an energy harvesting scheme that enables drones to extract energy from ambient resources such as radio frequency and solar energy [96]. Moreover, the issue of power efficiency might be addressed by reducing the weight of the UAV frame which is proposed in [97].…”

Section: B Open Issues and Challengesmentioning

confidence: 99%

Blockchain Interoperability in Unmanned Aerial Vehicles Networks: State-of-the-Art and Open Issues

et al. 2022

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The breakthrough of blockchain technology has facilitated the emergence and deployment of a wide range of unmanned aerial vehicles (UAV) networks-based applications. Yet, the full utilization of these applications is still limited due to the fact that each application is operating on an isolated blockchain. Thus, it is inevitable to orchestrate these blockchain fragments by introducing a cross-blockchain platform that governs the inter-communication and transfer of assets in the UAV networks context. In this paper, we survey the literature on the state-of-the-art cross blockchain frameworks to highlight the latest advances in the field. We also provide an up-to-date review of blockchain-based UAV networks applications. Based on the outcomes of our survey, we introduce a spectrum of scenarios related to UAV networks that may leverage the potentials of the currently available cross-blockchain solutions. Finally, we identify open issues and potential challenges associated with the application of a cross-blockchain scheme for UAV networks that will hopefully guide future research directions.

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Optimizing Hybrid Energy Harvesting Mechanisms for UAVs

Cited by 9 publications

References 8 publications

Electromagnetic Energy Harvester Design for Power Transmission Line

Electromagnetic Energy Harvester Design for Power Transmission Line

A Survey on Energy Optimization Techniques in UAV-Based Cellular Networks: From Conventional to Machine Learning Approaches

Blockchain Interoperability in Unmanned Aerial Vehicles Networks: State-of-the-Art and Open Issues

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