Academic literature on the topic 'Unmanned Aerial Vehicles Base Station'
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Journal articles on the topic "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.
Full textRolly, 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.
Full textGarmani, 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.
Full textHayajneh, 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.
Full textCurran, 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.
Full textBrito, 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.
Full textPeriola, 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.
Full textOnidare, 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.
Full textChen, 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.
Full textSłowik, 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.
Full textDissertations / Theses on the topic "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.
Full textNunes, Pedro Filipe. "Vision-based station-keeping of floating aerial and underwater unmanned vehicles." Master's thesis, 2019. http://hdl.handle.net/10773/29622.
Full textEsta 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
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.
Full text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.
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.
Full text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.
Books on the topic "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.
Full textWich, 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.
Full textBook chapters on the topic "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.
Full textKaidenko, 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.
Full textPop, 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.
Full textSevdik, 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.
Full textKhairi, 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.
Full textSharma, 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.
Full textWiseman, 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.
Full textS., 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.
Full textVanitha 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.
Full textRóżycki, 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.
Full textConference papers on the topic "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.
Full textShetty, 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.
Full textHuang, 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.
Full textBuyuksar, 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.
Full textAl-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.
Full textGrigoriev, 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.
Full textTrong 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.
Full textWojnar, 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.
Full textZeng, 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.
Full textChen, 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.
Full textReports on the topic "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.
Full textKamrath, 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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