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Добірка наукової літератури з теми "Unmanned Aerial Vehicles Base Station"

Автор: Grafiati

Опубліковано: 14 березня 2023

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Статті в журналах з теми "Unmanned Aerial Vehicles Base Station"

Zhao, Taifei, Hua Wang, and Qianwen Ma. "The coverage method of unmanned aerial vehicle mounted base station sensor network based on relative distance." International Journal of Distributed Sensor Networks 16, no. 5 (May 2020): 155014772092022. http://dx.doi.org/10.1177/1550147720920220.

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Анотація:

The unmanned aerial vehicle features with high flexibility and easy deployment. It could be used as an air base station and provide fast communication services for the ground users. It plays an important role in some special occasions such as natural disasters, emergency communications and temporary large-scale activities. A single unmanned aerial vehicle equipped with base station has limited range of services, but a multiple unmanned aerial vehicle equipped with base station network can serve a wider range of users. The research goal of unmanned aerial vehicle equipped with base station network coverage control is to maximize the network coverage under the condition of maintaining the service quality. In view of the low dynamic coverage ratio of unmanned aerial vehicle equipped with base station network, this article proposes a relative distance–based unmanned aerial vehicle equipped with base station deployment method. The unmanned aerial vehicle realizes on-demand coverage and maintains a stable network topology under the influence of three relative distances by sensing the uncovered area of the ground, the neighbouring unmanned aerial vehicles and the location of the coverage boundary or obstacles. In addition, the algorithm is also adapted to a variety of scenarios. The simulation results show that the coverage of the proposed algorithm is 22.4% higher than that of random deployment, and it is 9.9%, 4.7% and 2.1% higher than similar virtual force-oriented node, circular binary segmentation and hybrid local virtual force algorithms.

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Rolly, Rinju Mariam, Pandy Malarvezhi, and Thomas D. Lagkas. "Unmanned aerial vehicles: Applications, techniques, and challenges as aerial base stations." International Journal of Distributed Sensor Networks 18, no. 9 (September 2022): 155013292211239. http://dx.doi.org/10.1177/15501329221123933.

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Next generation wireless networks are expected to be greatly supported by unmanned aerial vehicles, which can act as aerial base stations and constitute a promising solution for the exorbitant rise in user demands. This is possible because of unmanned aerial vehicle characteristics such as mobility, flexibility, increased line-of-sight probability, and their ability to access unreachable locations. Extensive research is now widely performed on the deployment, performance analysis, resource management, trajectory optimization, and channel modeling in such networks. This survey article focuses on the different applications and the related algorithms for realizing aerial base stations by thoroughly reviewing each related research area. In a nutshell, this article provides key applications, challenges, and the technology used for the design and analysis of unmanned aerial vehicles as base stations.

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Garmani, Hamid, Driss Ait Omar, Mohamed El Amrani, Mohamed Baslam, and Mostafa Jourhmane. "Towards a Predictive Analysis of UAV-Based Flying Base Station Decisions." International Journal of Business Data Communications and Networking 16, no. 2 (July 2020): 20–52. http://dx.doi.org/10.4018/ijbdcn.2020070102.

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The use of unmanned aerial vehicles (UAVs) as a communication platform is of great practical significance in the wireless communications field. This paper studies the activity scheduling of unmanned aerial vehicles acting as aerial base stations in an area of interest for a specific period. Specifically, competition among multiple UAVs is explored, and a game model for the competition is developed. The Nash equilibrium of the game model is then analyzed. Based on the analysis, an algorithm for Nash equilibrium computation is proposed. Then, a game model with fairness concern is established, and its equilibrium price is also analyzed. In addition, numerical examples are conducted to determine the factors that affect the strategies (price, quality of service, and beaconing duration) of the UAV and to show how the expected profits of UAVs change with that fairness concern point. The authors believe that this research paper will shed light on the application of UAV as a flying base station.

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Hayajneh, Khaled F., Khaled Bani-Hani, Hazim Shakhatreh, Muhammad Anan, and Ahmad Sawalmeh. "3D Deployment of Unmanned Aerial Vehicle-Base Station Assisting Ground-Base Station." Wireless Communications and Mobile Computing 2021 (August 17, 2021): 1–11. http://dx.doi.org/10.1155/2021/2937224.

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Анотація:

Unmanned aerial vehicles (UAVs), also named as drones, have become a modern model to provide a quick wireless communication infrastructure. They have been used when conventional base stations’ capacity is suffering in some extreme cases such as congestion inside the cell or a special event. This paper proposes an efficient three-dimension (3D) placement of a single UAV-assisted wireless network in such cases. Our proposed model assists the ground base station (GBS) using the UAV to serve arbitrary distributed users considering the impact of the obstacle blockage over the well-known air-to-ground (A2G) path model. This work is aimed at optimizing the percentage of available bandwidth that must be provided to the UAV in order to maximize the number of served users. In addition, it finds the 3D placement of the UAV base station (UAVBS) that maximizes the number of served users, each with maximum quality-of-service (QoS). The exhaustive search and particle swarm optimization (PSO) algorithms are used to find the problem’s solution.

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Curran, Stephen J. "Application of Cellular Communications Models and Designs for Use in Disaster-Aftermath Related Scenarios." International Journal of Interdisciplinary Telecommunications and Networking 7, no. 3 (July 2015): 46–56. http://dx.doi.org/10.4018/ijitn.2015070104.

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This paper is a pilot study on the concept of an aerial base station as a future strategy for restoring cellular communications in the aftermath of a major disaster. The strategy being studied makes use of low altitude platforms (LAPs) or unmanned aerial vehicles (UAVs) that can hover or orbit in a relatively fixed position and can act as an aerial base station. Unlike High Altitude Platforms (HAP) operating in a layer of the atmosphere above any existing air traffic, the LAPs or UAVs will be able to operate a few hundred to some thousands of meters above ground level. This paper also describes the functionality of the components comprising the aerial base station.

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Brito, Carlos, Leonardo Silva, Gustavo Callou, Tuan Anh Nguyen, Dugki Min, Jae-Woo Lee, and Francisco Airton Silva. "Offloading Data through Unmanned Aerial Vehicles: A Dependability Evaluation." Electronics 10, no. 16 (August 10, 2021): 1916. http://dx.doi.org/10.3390/electronics10161916.

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Анотація:

Applications in the Internet of Things (IoT) context continuously generate large amounts of data. The data must be processed and monitored to allow rapid decision making. However, the wireless connection that links such devices to remote servers can lead to data loss. Thus, new forms of a connection must be explored to ensure the system’s availability and reliability as a whole. Unmanned aerial vehicles (UAVs) are becoming increasingly empowered in terms of processing power and autonomy. UAVs can be used as a bridge between IoT devices and remote servers, such as edge or cloud computing. UAVs can collect data from mobile devices and process them, if possible. If there is no processing power in the UAV, the data are sent and processed on servers at the edge or in the cloud. Data offloading throughout UAVs is a reality today, but one with many challenges, mainly due to unavailability constraints. This work proposes stochastic Petri net (SPN) models and reliability block diagrams (RBDs) to evaluate a distributed architecture, with UAVs focusing on the system’s availability and reliability. Among the various existing methodologies, stochastic Petri nets (SPN) provide models that represent complex systems with different characteristics. UAVs are used to route data from IoT devices to the edge or the cloud through a base station. The base station receives data from UAVs and retransmits them to the cloud. The data are processed in the cloud, and the responses are returned to the IoT devices. A sensitivity analysis through Design of Experiments (DoE) showed key points of improvement for the base model, which was enhanced. A numerical analysis indicated the components with the most significant impact on availability. For example, the cloud proved to be a very relevant component for the availability of the architecture. The final results could prove the effectiveness of improving the base model. The present work can help system architects develop distributed architectures with more optimized UAVs and low evaluation costs.

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Periola, A. A., and E. Obayiuwana. "Intelligent learning diversity mechanism for unmanned aerial vehicles applications." Nigerian Journal of Technology 39, no. 2 (July 16, 2020): 514–27. http://dx.doi.org/10.4314/njt.v39i2.22.

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The increased use of drones and aerial vehicles in applications poses challenges of airspace safety for aviation organizations. It is important to ensure the safety of the airspace when a significant number of unmanned aerial vehicles are deployed by civilian users. A solution that meets this requirement is important to promote innovation in the commercialization of air space for civilian users deploying unmanned aerial vehicle. The discussion in this paper proposes a mechanism that uses artificial intelligence to address this challenge. The proposed mechanism utilizes a low altitude platform (LAP) and entities in terrestrial wireless networks. The low altitude platform (LAP) observes, develops insights and training data (with human aid). The training data is used to develop learning mechanisms which determine the suitable unmanned aerial vehicles flight parameters in different scenarios. The use of the LAP reduces the burden of communicating with terrestrial base stations. The unmanned aerial vehicles have a reduced altitude between the LAPs in comparison to terrestrial base stations. This reduces the free space path loss and rain-induced attenuation. The performance benefit of the proposed mechanism in comparison to existing solution is examined via MATLAB simulations. Evaluation shows that the proposed mechanism reduces the network access costs by up to 90% on average. The proposed mechanism also increases available flight power and improves airspace safety by 37.3% and up to 53.2% on average respectively. Keywords: Autonomous unmanned aerial vehicles, Intelligence Paradigm; Aviation Safety, Capital Constrained Aviation Organizations.

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Onidare, Samuel O., Osuolale A. Tiamiyu, Nurudeen O. Yusuff, Dayo R. Aremu, and Adeseko A. Ayeni. "Unmanned Aerial Vehicle Base Station Assisted Licensed Shared Access." FUOYE Journal of Engineering and Technology 7, no. 2 (June 30, 2022): 162–68. http://dx.doi.org/10.46792/fuoyejet.v7i2.809.

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A major issue in deploying aerial base stations is the strain it places on the already scarce spectrum and the associated required re-design of the radio resource allocations. To solve this problem, we propose a Licensed Shared Access- (LSA-) based aerial-terrestrial system. The proposed scheme is an integration of unmanned aerial vehicle base station (UAV-BS), as a licensee system, utilising the radio spectrum allocated to other wireless systems- the incumbent system, with the ground base-station operating at the traditional frequency band for cellular systems. However, a major challenge in using LSA for D-BSs is the spectrum unavailability while the incumbent system is active. In conventional terrestrial networks, this leads to service unavailability in a wide geographical area. To tackle this, we define a dynamic UAV-BS positioning scheme that takes into account the presence or otherwise of the incumbent on the spectrum (incumbent Busy and, Idle mode) while taking into consideration the spatial capacity demand in the licensee network. In the busy incumbent mode, the problem of the UAV-BS positioning is tantamount to a goal programming problem with the first level priority goal of fulfilling the incumbent’s interference threshold constraint. Simulation result show that in addition to, the proposed (LSA-) based aerial-terrestrial scheme, solving the challenge posed by scarcity of spectrum in aerial base station deployment, a significant improvement in the system efficiency is obtained. It is seen that the proposed dynamic UAV-BS positioning scheme achieved the desired capacity requirement of the licensee network, while ensuring the interference threshold is not exceeded, at a relatively smaller distance of 1000 m to the boundary of the incumbent’s system transmission coverage as opposed to a larger distance of about 19 Km.

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Chen, Yingjue, Yingnan Gu, Panfeng Li, and Feng Lin. "Minimizing the number of wireless charging PAD for unmanned aerial vehicle–based wireless rechargeable sensor networks." International Journal of Distributed Sensor Networks 17, no. 12 (December 2021): 155014772110559. http://dx.doi.org/10.1177/15501477211055958.

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In wireless rechargeable sensor networks, most researchers address energy scarcity by introducing one or multiple ground mobile vehicles to recharge energy-hungry sensor nodes. The charging efficiency is limited by the moving speed of ground chargers and rough environments, especially in large-scale or challenging scenarios. To address the limitations, researchers consider replacing ground mobile chargers with lightweight unmanned aerial vehicles to support large-scale scenarios because of the unmanned aerial vehicle moving at a higher speed without geographical limitation. Moreover, multiple automatic landing wireless charging PADs are deployed to recharge unmanned aerial vehicles automatically. In this work, we investigate the problem of introducing the minimal number of PADs in unmanned aerial vehicle–based wireless rechargeable sensor networks. We propose a novel PAD deployment scheme named clustering-with-double-constraints and disks-shift-combining that can adapt to arbitrary locations of the base station, arbitrary geographic distributions of sensor nodes, and arbitrary sizes of network areas. In the proposed scheme, we first obtain an initial PAD deployment solution by clustering nodes in geographic locations. Then, we propose a center shift combining algorithm to optimize this solution by shifting the location of PADs and attempting to merge the adjacent PADs. The simulation results show that compared to existing algorithms, our scheme can charge the network with fewer PADs.

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Słowik, Maciej, and Zdzisław Gosiewski. "Base Station for Monitoring of Unmanned Aerial Vehicle Flight." Solid State Phenomena 198 (March 2013): 182–87. http://dx.doi.org/10.4028/www.scientific.net/ssp.198.182.

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A configuration of universal base station designed to use mobile networks for long-range transmission of telemetry data is described in the paper. Types of cellular networks and modes of their operation are presented. Next, GPRS system is shown as a possible method of data transmission between UAV and Base Station. Communication modes of the station can be augmented by additional close-range communication system based on Xbee modules. The configuration and integration of test stand for telemetric signals monitoring are shown. Finally, the modes of possible operations based on the conditions of mobile networks are described.

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Більше джерел

Дисертації з теми "Unmanned Aerial Vehicles Base Station"

Sivalingam, T. (Thushan). "Positioning of multiple unmanned aerial vehicle base stations in future wireless network." Master's thesis, University of Oulu, 2019. http://jultika.oulu.fi/Record/nbnfioulu-201908132758.

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Abstract. Unmanned aerial vehicle (UAV) base stations (BSs) can be a reliable and efficient alternative to full fill the coverage and capacity requirements when the backbone network fails to provide the requirements during temporary events and after disasters. In this thesis, we consider three-dimensional deployment of multiple UAV-BSs in a millimeter-Wave network. Initially, we defined a set of locations for a UAV-BS to be deployed inside a cell, then possible combinations of predefined locations for multiple UAV-BSs are determined and assumed that users have fixed locations. We developed a novel algorithm to find the feasible positions from the predefined locations of multiple UAVs subject to a signal-to-interference-plus-noise ratio (SINR) constraint of every associated user to guarantees the quality-of-service (QoS), UAV-BS’s limited hovering altitude constraint and restricted operating zone because of regulation policies. Further, we take into consideration the millimeter-wave transmission and multi-antenna techniques to generate directional beams to serve the users in a cell. We cast the positioning problem as an ℓ₀ minimization problem. This is a combinatorial, NP-hard, and finding the optimum solution is not tractable by exhaustive search. Therefore, we focused on the sub-optimal algorithm to find a feasible solution. We approximate the ℓ₀ minimization problem as non-combinatorial ℓ₁-norm problem. The simulation results reveal that, with millimeter-wave transmission the positioning of the UAV-BS while satisfying the constrains is feasible. Further, the analysis shows that the proposed algorithm achieves a near-optimal location to deploy multiple UVABS simultaneously.

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Nunes, Pedro Filipe. "Vision-based station-keeping of floating aerial and underwater unmanned vehicles." Master's thesis, 2019. http://hdl.handle.net/10773/29622.

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This dissertation addresses the problem of \station-keeping" of a robotic floating vehicle, i.e., the procedure of maintaining a hovering underwater vehicle or a lighter-than-the-air ship on a pre-established 3D position relatively to a ground-referenced frame. The method proposed to achieve this objective, in the absence of GPS signals, is a vision-based control scheme designated in the robotics literature as visual-servo control. The approach exploits the availability of visual features observed on the ground surveyd by the vehicle and takes advantage of standard digital video cameras normally available on unmanned platforms as those contemplated in the present context. The system implementated in the context of this work relies on inexpensive video cameras and computational resources, which are proven to fullfil the requirements of the envisioned application. The proposed test bench of the control system is a small blimp that can be operated inside a sufficiently large building. Due to difficulties in the operation of this air vehicle experienced during the work, the dissertation developments included a dynamics-based computer simulator of the blimp parameterized by real physical parameters and designed to provide the signal inputs required by the visual-servoing system responsible for station-keeping the vehicle. Although the different functional components developed in this work have not been completely integrated in a fully-functional version of the system, the theoretical and experimental frameworks of the proposed approach have been established and a set of operational blocks has been implemented which can be later integrated in order to achieve the objectives of the project.
Esta dissertação aborda o problema de controlo/manutenção da posição de veículos robóticos flutuantes, ou seja o procedimento destinado a manter um veiculo aério ou subaquático, a pairar sobre um determinado ambiente, numa posição fixa previamente estabelecida em relação a um referencial local ou global. O método proposto para atingir este objectivo, na ausência de dados de posicionamento GPS, consiste num sistema de controlo baseado em visão, designado na literatura robótica por "visual-servo control". A abordagem explora marcas visuais presentes no terreno sobrevoado pelo veiculo, tirando partido de camaras de video digital normalmente disponíveis como equipamento "standard" neste tipo de plataformas autónomas. O sistema implementado no ^âmbito do trabalho assenta em câmaras de video digital e sistemas computacionais de muito baixo custo que se demonstra satisfazerem plenamente os requisitos da aplicação em vista. O ambiente de teste proposto para validar o sistema de controlo implementado é um pequeno dirigível (blimp) que pode ser operado dentro de um edifício com suficiente espaço interior disponível. Devido a diversas dificuldades operacionais sentidas durante o trabalho da dissertação, que impossibilitaram a realização de testes com o veículo real, foi desenvolvido um simulador computacional do "blimp", parametrizado com valores reais e destinado a fornecers os sinais requeridos pelo sistema de controlo baseado em visão responsável pela manutenção da posição do veículo. Embora as diferentes componentes funcionais desenvolvidas neste trabalho não tenham sido completamente integradas para implementar um sistema totalmente funcional, foram implementados os diferentes blocos funcionais que poderão ser posteriormente integrados de forma a permitir atingir os objectivos do trabalho proposto.
Mestrado em Engenharia Eletrónica e Telecomunicações

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Chen, Chun-Ting, and 陳俊廷. "On-demand Deployment and Resource Management for Unmanned Aerial Vehicle Base Stations." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/fzfmrr.

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碩士
國立交通大學
電機工程學系
108
With the advent of the 5G era, user demand for mobile communication networks has increased rapidly. When users participate in large-scale activities and gather quickly, the demand for communication network traffic will suddenly increase, which will be a huge challenge for traditional cellular networks. However, unmanned aerial vehicle base stations (UAV-BSs) can provide good quality of communication in the face of temporary traffic demands. Therefore, this paper studies how to deploy the minimum number of UAV-BSs to satisfy the various user data rate requirements in the service area. Since the 3D problem of UAV-BS deployment is extremely complex, we redesign the problem formulation from a geometric aspect and make it easier to handle this problem. We further propose the joint on-demand deployment and resource management (JoDoR) method, which can allocate corresponding resources according to the different user demands. In the numerical results, the proposed JoDoR approach can minimize the number of UAV-BSs to satisfy the user requirement of all users compared to spatial-correlation-based (SC-based) and density-based methods. Additionally, the proposed JoDoR can reduce the average number of UAV-BS by 23% and 35.33% compared to SC-based and density-based methods, respectively.

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Lin, Hung-Ching, and 林泓慶. "Realization of a Ground Station for Autonomous Unmanned Aerial Vehicles Using LabVIEW." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/19180943353169541691.

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碩士
國立雲林科技大學
電機工程系碩士班
99
In light of the ease of programming as well as maintenance, the thesis has been devoted to redesign the ground station using LabVIEW based on the previous approach. The design of a ground station for unmanned aerial vehicles consists mainly of two parts. One of which is the display interface and the other is the console of the station. The display interface provides real-time telemetry including data transmission facilities, GPS information, real-time electronic flight map, vehicle flight information, data logging, emergency alert and health conditioning of the vehicle. The console consists of interface equipped with switches, pushbuttons, knobs and sticks used for navigation control, flight mode control, and hybrid mode control, respectively. Specifically, an interface for real-time adjusting of parameters of the on-board flight controller, which is referred to as tuning-on-the-fly is also provided. It is particularly useful in the initial phase of controller design. We have successfully integrated GPS with the Google Earth electronic map to perform the GPS-guided flight. The real-time flight trajectory can be generated on the map for displaying the instant position of the vehicle during the flight mission.

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Книги з теми "Unmanned Aerial Vehicles Base Station"

Brodņevs, Deniss. Analysis of the Performance of Cellular Mobile Networks for the Remote-Control Systems of Unmanned Aerial Vehicles. Summary of the Doctoral Thesis. RTU Press, 2021. http://dx.doi.org/10.7250/9789934227097.

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The Thesis is concerned with assessing the suitability of LTE (4G) cellular networks for the remote control of low-flying UAVs. To solve this problem, an approach to the analysis of the delay values in cellular networks has been developed, which makes it possible to estimate the delays of individual cells and overall cellular network. Requirements for delays in the UAV control channel were developed, conclusions were drawn about the suitability of the LTE network as a communication solution for the UAV remote control. A method for calculating the effect of parallel redundancy is proposed, and an experimental assessment of the possibility of using two existing solutions for parallel redundancy in LTE networks is carried out. In addition, a compact technical solution for analyzing the level of base station signals was demonstrated.

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Wich, Serge A., and Lian Pin Koh. Typology and anatomy of drones. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198787617.003.0002.

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In this chapter we discuss the typology of drones that are currently being used for different kinds of environmental and conservation applications. Drones are also commonly known variously as Remotely Piloted Aircraft Systems (RPAS), Unmanned Aerial Vehicles (UAV), and Unmanned Aircraft Systems (UAS). We focus on the most popular aircraft types including multirotor (of various configurations), fixed wing, and hybrid ‘vertical-take-off-and-landing’ (VTOL) craft, and briefly discuss the relative pros and cons of each type. We also broadly discuss the essential components common to all remotely piloted aircraft systems, including the power source, flight controller (or autopilot), and ground control station.

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Частини книг з теми "Unmanned Aerial Vehicles Base Station"

de Paiva, Glesio Garcia, Diego Roberto Colombo Dias, Marcelo de Paiva Guimarães, and Luis Carlos Trevelin. "Immersive Ground Control Station for Unmanned Aerial Vehicles." In Computational Science and Its Applications – ICCSA 2017, 595–604. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62392-4_43.

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Kaidenko, Mykola, and Sergey Kravchuk. "Autonomous Unmanned Aerial Vehicles Communications on the Base of Software-Defined Radio." In Advances in Information and Communication Technology and Systems, 289–302. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58359-0_16.

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Pop, Sebastian, Marius Cristian Luculescu, Luciana Cristea, Constantin Sorin Zamfira, and Attila Laszlo Boer. "Improving Communication Between Unmanned Aerial Vehicles and Ground Control Station Using Antenna Tracking Systems." In Online Engineering & Internet of Things, 532–39. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64352-6_49.

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Sevdik, Gamze, Sakir Esnaf, and Engin Baytürk. "Facility Location for Unmanned Aerial Vehicle Base Stations to Provide Uninterrupted Mobile Communication After Earthquakes." In Lecture Notes in Mechanical Engineering, 53–61. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62784-3_5.

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Khairi, Aizat, and Ali ‘Izzat Sa’ari. "The Potential of Using Unmanned Aerial Vehicles for Sea Patrol: Case Study at Royal Malaysian Navy, Lumut Base." In Advanced Engineering for Processes and Technologies II, 1–11. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67307-9_1.

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Sharma, Navuday, Maurizio Magarini, and Muhammad Mahtab Alam. "Internet of Drones-Enabled Smart Cities." In IoT Architectures, Models, and Platforms for Smart City Applications, 107–33. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1253-1.ch006.

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Unmanned aerial vehicles (UAVs) are expected to provide data service to users as aerial base stations, as gateways to collect the data from various sensors, and as sensor-mounted aerial platforms deployed in smart cities. The study in this chapter initially starts with the air-to-ground (A2G) channel model. Due to the unavailability of channel parameters for UAVs at low altitudes, measurements were performed using a radio propagation simulator for generalized environments developed using ITU-R parameters. Further, cell coverage analysis is shown with simulation results obtained from the ray tracing. Later, an optimal replacement to UDNs was proposed to support the flash crowds and smart cites known as ultra-dense cloud drone network. This system is advantageous as it offers reduction in total cost of ownership due to its on-demand capability. Further, work is shown on implementing parameters for 5G physical layer with generalized frequency division multiplexing modulation over A2G channel on the UAV network to provide reliable and faster connectivity for ground users and sensors.

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Wiseman, Dion J., and Jurjen van der Sluijs. "Alternative Methods for Developing and Assessing the Accuracy of UAV-Derived DEMs." In Unmanned Aerial Vehicles, 249–70. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8365-3.ch011.

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Digital terrain models are invaluable datasets that are frequently used for visualizing, modeling, and analyzing Earth surface processes. Accurate models covering local scale landscape features are often very expensive and have poor temporal resolution. This research investigates the utility of UAV acquired imagery for generating high resolution terrain models and provides a detailed accuracy assessment according to recommended protocols. High resolution UAV imagery was acquired over a localized dune complex in southwestern Manitoba, Canada and two alternative workflows were evaluated for extracting point clouds. UAV-derived data points were then compared to reference data sets acquired using mapping grade GPS receivers and a total station. Results indicated that the UAV imagery was capable of producing dense point clouds and high resolution terrain models with mean errors as low as -0.15 m and RMSE values of 0.42 m depending on the resolution of the image dataset and workflow employed.

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S., Senith, Alfred Kirubaraj, Nisha Malini, Jegadeeswari M., Poornima Vijaykumar, and Praveen Kumar S. "Unmanned Aerial Vehicle Brands Fan Page Engagement Behavior Analytics." In Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques, 166–87. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-8763-8.ch008.

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Over the last few years, the way people trade information and communicate with one another has changed tremendously. In business communication, social media channels such as Facebook, Twitter, and YouTube are becoming increasingly significant. Nevertheless, the study into online brand fan page is primarily focused on using website platforms rather than social media platforms. As a result, more research is needed to analyze UAV businesses' fan page engagement behavior in order to grow their fan base and further induce a fan's buying behavior using the honeycomb model's views. Consumers who have participated in an online brand fan page are the study's target group. A web-based survey was used to collect data. Identity, conversation, presence, sharing, reputation, relationships, and groups all had a significant beneficial effect on brand equity, according to the findings. This study confirms the impact of perceived value in improving various fan page behaviors, which aids in the identification and implementation of an online engagement plan for purchase.

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Vanitha N. and Padmavathi Ganapathi. "Traffic Analysis of UAV Networks Using Enhanced Deep Feed Forward Neural Networks (EDFFNN)." In Handbook of Research on Machine and Deep Learning Applications for Cyber Security, 219–44. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9611-0.ch011.

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The world is moving to an autonomous era. Autonomous vehicles take a major role in day-to-day activity, helping human personnel do work quickly and independently. Unmanned aerial vehicles (UAVs) are autonomous vehicles controlled using remotes in ground station by human personnel. These UAVs act as a network that plays a vital role in the digital era. There are different architectures of UAV networks available. This chapter concentrates on centralized UAV network. Because of wireless and autonomy characteristics, these networks are prone to various security issues, so it's very important to monitor and analyze the traffic of the UAV network in order to identify the intrusions. This chapter proposes enhanced deep feed forward neural network (EDFFNN) in order to monitor and analyze the traffic of the UAV network to detect the intrusions with maximum detection rate of 94.4%. The results have been compared with the previous method of intrusion detection.

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Różycki, Rafał, Tomasz Lemański, and Joanna Józefowska. "Scheduling UAV’s on Autonomous Charging Station." In Modern Technologies Enabling Safe and Secure UAV Operation in Urban Airspace. IOS Press, 2021. http://dx.doi.org/10.3233/nicsp210010.

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The paper considers the concept of a charging station for an Unmanned Aerial Vehicles (UAV, drone) fleet. The special feature of the station is its autonomy understood as independence from a constant energy source and an external module for managing its operation. It is assumed that the station gives the possibility to charge batteries of many drones simultaneously. However, the maximum number of simultaneously charged drones is limited by a temporary total charging current (i.e. there is a power limit). The paper proposes a mathematical model of charging a single drone battery. The problem of finding a schedule of charging tasks is formulated, in which the minimum time of the charging process for all drones is assumed as the optimization criterion. Searching for a solution to this problem is performed by an autonomous charging station with an appropriate computing module equipped with a Variable Speed Processor (VSP). To that end an appropriate algorithm is activated (i.e. a computational job), the execution of which consumes a certain amount of limited energy available to the charging station. In the paper we consider energy-aware execution of an implementation of an evolutionary algorithm (EA) as a computational job. The possibility of saving energy by controlling the CPU frequency of a VSP is analyzed. A characteristic feature of the processor is the non-linear relationship between the processing rate and electric power usage. According to this relationship, it turns out that slower execution of the computational job saves electrical energy consumed by the processor.

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Тези доповідей конференцій з теми "Unmanned Aerial Vehicles Base Station"

Leonard, Jeremie, Samer Aldhaher, Al Savvaris, and Antonios Tsourdos. "Automated Recharging Station for Swarm of Unmanned Aerial Vehicles." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-88246.

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Automated maintenance has become a necessity for UAV systems to allow human operators to concentrate on higher-level tasks. By reducing the need for a human interaction, such systems could be set to function in remote environments for an extended period of time and take care of a higher number of vehicles. This paper describes the work carried out to design, test and construct an autonomous charging station for battery-powered quadrotors. In the effort to fit swarm behaviors, the focus has been to shorten the charging phase of a single quadrotor platform. By designing safer electrical contacts and adding a cell balancer to the system, the station can supply considerably more current to charge the vehicle’s battery. Once the vehicle has landed, voltage and current probes transmit the current state-of-charge to a controller for optimum charging cycle. To support even more applications, the system was equipped with the capability of wireless power transfer. Energy is transferred from a power transmitter in the docking station to a power receiver on-board the vehicle based on resonant inductive coupling. Minimizing the internal losses of the DC/AC inverter and AC/DC rectifier in the transmitter and receiver will allow for higher power levels to be transmitted and will maximize the efficiency. With the continuous monitoring of the process and the advanced charging technologies allowing for a balanced high-current charge, the Flying/Charging ratio of the vehicle could reach 1.

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Shetty, Devdas, and Louis Manzione. "Unmanned Aerial Vehicles (UAV): Design Trends." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-64518.

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This paper looks at the trends in design procedures in Unmanned Aerial Vehicles (UAVs). Rapid advances in technology are enabling more and more capability to be placed on smaller airframes which is spurring a large increase in the number of UAVs being deployed in the army. The military role of UAV is growing at unprecedented rates. The UAV is an acronym for Unmanned Aerial Vehicle, which is an aircraft with no pilot on board. UAVs can be remote controlled aircraft (e.g. flown by a pilot at a ground control station) or can fly autonomously based on pre-programmed flight plans or more complex dynamic automation systems. A variety of design configurations are in use. The primary driving parameters in all UAVs is the need for maximizing available wing area and wing effectiveness, while minimizing the required storage volume. The major factors in determining the relative merit of the different concepts are the evaluation of structural viability, mechanical complexity and overall system survivability by G forces. This paper examines some of the design methodologies and hardware-in-the loop simulation environment to support and validate the UAV hardware and software development.

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Huang, Da-Yu, and Yu-Jia Chen. "Deep Learning for Base Station Association in Cellular-connected Unmanned Aerial Vehicle Systems." In 2022 IEEE International Conference on Consumer Electronics - Taiwan. IEEE, 2022. http://dx.doi.org/10.1109/icce-taiwan55306.2022.9869286.

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Buyuksar, Ayse Betul, Mehmet Can, and Ibrahim Altunbas. "Distributed Spatial Modulation for Unmanned Aerial Vehicle-Base Station to Ground Cooperative Communication." In 2021 29th Telecommunications Forum (TELFOR). IEEE, 2021. http://dx.doi.org/10.1109/telfor52709.2021.9653292.

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Al-Tahir, Raid, and Travis Barran. "EARTHWORK VOLUMETRICS WITH UNMANNED AERIAL VEHICLES: A COMPARATIVE STUDY." In International Conference on Emerging Trends in Engineering & Technology (IConETech-2020). Faculty of Engineering, The University of the West Indies, St. Augustine, 2020. http://dx.doi.org/10.47412/klnq8966.

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The recent evolution of Unmanned Aerial Vehicles (UAVs) as measuring instruments has become attractive for many surveying applications in civil engineering including the volumetric computations of earthworks in the construction of a highway. The application of softcopy photogrammetry to UAV acquired imagery has the potential to reduce data acquisition costs, time and with suitable accuracy for earthworks mapping and volumetrics. Their performance, however, is not well understood for these applications. This investigation tests the ability of the UAVs and photogrammetric software to generate volumes for the layers of material used in road construction, as well as to analyse their accuracies and limitations. Specifically, this study assesses the feasibility of UAV-based surveying in generating volumes for general earthworks in highway/road construction. Additionally, the study compares the performance of UAV-based surveying to that of Total Station surveying. Performance is evaluated along the required time for image acquisition and generating the final products, the required personnel and overall cost of survey. A segment of the Churchill Roosevelt Extension to Manzanilla was used in the assessment.

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Grigoriev, Gleb, Vladimir Gulin, Alexei Nikitin, Nikita Sivoy, Eugene Bondarev, Marat Islamuratov, Oksana Zakharova, Igor Karpov, Evgenii Liubimov, and Vladislav Votsalevskiy. "Integrated Droneborne Geophysics Application as a Tool for Exploration Optimization. Case Studies." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206250-ms.

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Abstract Unmanned aerial vehicles (UAV) have a great potential for geological exploration optimization at all stages. This study considers UAV implementation at different exploration stage. Integrated approach using unmanned aerial systems shows great effectiveness based on the completed surveys. Low-depth electrical exploration using the shallow electrical exploration method is one of the possible UAVs technologies with great potential. In this study there are several cases describing main field data acquisition, models and cross-sections processing. Unmanned aerial systems are applicable at all stages of the oil and gas value chain and are already an integral part of oil&gas production process. Now there are more than 70 unmanned aerial systems application scenarios. The main advantages of drones are that the use of this operational data collection tool allows: – to reduce the duration of collecting geospatial data by 70%, and the cost by 3 times; – make the best decisions quickly; – to realize additional potential for increasing efficiency (application at all stages of the production chain) – increase the production processes safety level The most promising and actively developing areas of technology application are: Geophysical surveys at different stages of geological exploration. Drones have great potential for application in non-seismic exploration methods in the early stages of geological exploration. In addition, UAV surveys are suitable for planning geological exploration and working out the conceptual arrangement of the terrain. The presence of an accurate digital elevation model at the start of work of the project team makes it possible to remove a number of uncertainties and questions about conducting field work on seismic exploration, the placement of infrastructure and corridor communications. Objective control of the capital construction progress. Another important area of drones application is aerial photography at all stages of capital construction. With the help of UAVs, it is possible to control such parameters as the status and quality of construction and installation works, equipment of contractors, compliance with safety and environmental standards, and others. To do this, the unmanned vehicle flies around the object with a given regularity, filming it from different angles. After aerial photography, special software stitches the results into photogrammetric products (digital terrain model, orthophotomaps, 3D models) with an accuracy of 4–6 centimeters. On the constructed models, you can calculate the dynamics by one or another parameter. Operational fieldwork and intrastructure monitoring. At the same time, one of the key goals of technology application is the creation of a network of autonomous stations with drones at all assets for remote control of the company's production processes. The first step in this direction was the joint pilot testing of an automated take-off and landing station with an unmanned aerial vehicle of a multi-rotor type. The use of the station will reduce the time and cost of collecting data on capital construction and infrastructure. Project teams will be able to react faster to changes. An automated take-off and landing station allows the use of unmanned aerial vehicles without human intervention. The drone can independently take off, perform the necessary operations, land and recharge. Thus, flight operations and data collection can be performed remotely without the constant presence of a specialist on site.

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Trong Nghia Le, Lan Anh Nguyen Thi, Trong Khanh Nghiem, Hong Viet Nguyen, Dang Khoa Truong, Tran Hiep Nguyen, Van Cong Hoang, and Minh Dong Pham. "Complementary authenticator design for ground control station to identify Unmanned Aerial Vehicles based on channel-tap power." In 2017 International Conference on System Science and Engineering (ICSSE). IEEE, 2017. http://dx.doi.org/10.1109/icsse.2017.8030919.

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Wojnar, Olek, Eric D. Swenson, and Gregory W. Reich. "Analyzing Carbohydrate-Based Regenerative Fuel Cells as a Power Source for Unmanned Aerial Vehicles." In ASME 2008 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2008. http://dx.doi.org/10.1115/smasis2008-395.

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Based on current capabilities, we examine the feasibility of creating a carbohydrate-based regenerative fuel cell (CRFC) as the primary power source for unmanned aerial vehicles (UAV) for long endurance missions where station keeping is required. The CRFC power system evaluated in this research is based on a closed-loop construct where carbohydrates are generated from zooxanthellae, algae which create excess carbohydrates during photosynthesis. The carbohydrates are then fed to a carbohydrate fuel cell where electric power is generated for the UAV’s propulsion, flight control, payload, and accessory systems. The waste products from the fuel cell, carbon dioxide and water, are used by the zooxanthellae to create more carbohydrates, therefore mass is conserved in the process of power generation. The overall goal of this research is to examine the potential of CRFCs as a viable power source for UAV systems, to look at scaling issues related to different vehicle sizes and missions, and to identify sensitivities in the CRFC system to different system parameters, indicating the areas where technology improvements may make CRFCs a viable technology. Through simulations, a UAV is sized to determine if greater than 24 hour endurance flight is possible and these results are compared to UAVs using more traditional photo-cell based power systems. The initial results suggest that CRFCs have potential as a power system for long endurance UAVs, and could offer significant improvements to the overall system performance. The final outcome of this research is to identify the most important areas for more detailed follow-on work in designing a production-ready CRFC power system for long endurance UAVs.

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Zeng, Qian, Bin Zhong, Jian Sun, Chao Liu, and Meng Wang. "Full-Duplex Relay Aided Device-to-Device Communication Networks Under the Coverage of Unmanned Aerial Vehicle Base Station." In 2018 24th Asia-Pacific Conference on Communications (APCC). IEEE, 2018. http://dx.doi.org/10.1109/apcc.2018.8633503.

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Chen, Yancheng, Ning Li, Cong Wang, Wei Xie, and Jianhui Xv. "A 3D Placement of Unmanned Aerial Vehicle Base Station Based on Multi-Population Genetic Algorithm for Maximizing Users with Different QoS Requirements." In 2018 IEEE 18th International Conference on Communication Technology (ICCT). IEEE, 2018. http://dx.doi.org/10.1109/icct.2018.8600206.

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Звіти організацій з теми "Unmanned Aerial Vehicles Base Station"

Larkin, Lance, Thomas Carlson, William D’Andrea, Andrew Johnson, and Natalie Myers. Network development and autonomous vehicles : a smart transportation testbed at Fort Carson : project report summary and recommendations. Engineer Research and Development Center (U.S.), November 2022. http://dx.doi.org/10.21079/11681/45941.

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In this work, a smart transportation testbed was utilized at Fort Carson to demonstrate three use cases for the primary purpose to plan, develop, demonstrate, and employ autonomous vehicle technologies at military installations and within the surrounding communities to evaluate commercially available Connected and Automated Vehicles and the potential to reduce base operating costs, improve safety and quality of life for military service members and their families, and deliver services more efficiently and effectively. To meet this purpose, an automated vehicle shuttle, an unmanned aerial system, and a wireless network were used and tested during the project. Results for the automated shuttle indicated that despite the quantity of data generated by operations, the contractors may not be ready to share information in a readily usable format. Additionally, successful use by the public is predicated on both knowing their mobility pat-terns and staff members promoting trust in the technology to prospective riders. Results for the unmanned aerial system showed successful identification of foreign object debris and runway cracks at the airfield. The wireless network is now operational and is used for additional work which utilizes the installed traffic cameras.

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Kamrath, Matthew, Vladimir Ostashev, D. Wilson, Michael White, Carl Hart, and Anthony Finn. Vertical and slanted sound propagation in the near-ground atmosphere : amplitude and phase fluctuations. Engineer Research and Development Center (U.S.), May 2021. http://dx.doi.org/10.21079/11681/40680.

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Sound propagation along vertical and slanted paths through the near-ground atmosphere impacts detection and localization of low-altitude sound sources, such as small unmanned aerial vehicles, from ground-based microphone arrays. This article experimentally investigates the amplitude and phase fluctuations of acoustic signals propagating along such paths. The experiment involved nine microphones on three horizontal booms mounted at different heights to a 135-m meteorological tower at the National Wind Technology Center (Boulder, CO). A ground-based loudspeaker was placed at the base of the tower for vertical propagation or 56m from the base of the tower for slanted propagation. Phasor scatterplots qualitatively characterize the amplitude and phase fluctuations of the received signals during different meteorological regimes. The measurements are also compared to a theory describing the log-amplitude and phase variances based on the spectrum of shear and buoyancy driven turbulence near the ground. Generally, the theory correctly predicts the measured log-amplitude variances, which are affected primarily by small-scale, isotropic turbulent eddies. However, the theory overpredicts the measured phase variances, which are affected primarily by large-scale, anisotropic, buoyantly driven eddies. Ground blocking of these large eddies likely explains the overprediction.

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