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Journal articles on the topic 'Unmanned Aerial Vehicles Base Station'

Author: Grafiati

Published: 14 March 2023

Last updated: 31 July 2025

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1

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 (2020): 155014772092022. http://dx.doi.org/10.1177/1550147720920220.

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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 netw

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Alsudani, Mustafa Qahtan, Mushtaq Talb Tally, Israa Fayez Yousif, Ali Abdullhussein Waad, Safa Riyadh Waheeda, and Myasar Mundher Adnan. "Positioning Optimization of UAV (Drones) Base Station in Communication Networks." Malaysian Journal of Fundamental and Applied Sciences 19, no. 3 (2023): 429–39. http://dx.doi.org/10.11113/mjfas.v19n3.2993.

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Unmanned aerial vehicles (UAV) and cellular networks are growing closer to being integrated in the realm of wireless communications, which will improve service quality even further. In this study, we investigate a wireless communication system in which two types of base stations—in the air and on the ground—serve separate groups of users. We analyze the effect of the aerial base station (ABS) height and transmit power on the system's downlink and uplink data rates while accounting for the reciprocal interference between the Aerial and terrestrial communication lines. The findings demonstrate t

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Erofeev, V. V., A. N. Kosterev, E. D. Valkova, and V. V. Matytsin. "Radio telemetry signal quality enhancement system to improve Earth remote sensing using unmanned aerial vehicles efficiency in real-time kinematics mode." Earth sciences and subsoil use 47, no. 3 (2024): 316–28. http://dx.doi.org/10.21285/2686-9993-2024-47-3-316-328.

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When conducting remote sensing of the Earth using unmanned aerial vehicles, the problem of connection disruption between the operator’s base station and the unmanned aerial vehicle controller often arises due to natural obstacles to radio signal propagation (relief, vegetation, etc.) as well as a large range of the vehicle. The loss of connection is especially critical when surveying is carried out using a real-time kinematics technology, which ensures the transmission of correction amendments from the base station to the unmanned aerial vehicle controller to ensure high-precision spatial refe

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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 (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 o

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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 (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, an

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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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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-grou

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Muhammed Mirac Özer. "Artificial Intelligence of Things-Based Modular Avionics System Solution for Swarm Unmanned Combat Aerial Vehicles (SUCAVs)." International Journal of Combinatorial Optimization Problems and Informatics 16, no. 3 (2025): 254–77. https://doi.org/10.61467/2007.1558.2025.v16i3.671.

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In this study, a modular avionics system solution is presented for fixed-wing fully autonomous controlled swarm unmanned aerial vehicles that can successfully detect within-visual and beyond-visual targets in the mission area as many times as possible thanks to deep learning, lock on to the target for the desired period of time and destroy it, evade the locks of other armed unmanned aerial vehicles with maneuvers and continuously transfer the information it receives to ground stations. Armed unmanned aerial vehicles provide reconnaissance, surveillance and intelligence opportunities as well as

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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 (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 describe

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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 (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

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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 (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 u

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Brito, Carlos, Leonardo Silva, Gustavo Callou, et al. "Offloading Data through Unmanned Aerial Vehicles: A Dependability Evaluation." Electronics 10, no. 16 (2021): 1916. http://dx.doi.org/10.3390/electronics10161916.

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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

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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 (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

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Tyurin, Dmitry V., Sergei V. Shishanov, and Vyacheslav V. Kazakov. "Coordinates estimation of the unmanned aerial vehicles by using distributed system of base stations." Physics of Wave Processes and Radio Systems 27, no. 2 (2024): 85–90. http://dx.doi.org/10.18469/1810-3189.2024.27.2.85-90.

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Background. The different sensors and global navigation satellite system are used for positioning unmanned aerial vehicles. But in case of short-term signal loss and increasing positioning accuracy, additional methods for estimating coordinates are used. Aim. The paper deals with positioning methods for unmanned aerial vehicles based on range estimation to base stations. Methods. The positioning methods were investigated by mathematical modeling in Uma scenario. Results. The methods of coordinate estimation of unmanned aerial vehicles was analyzed. The accuracy of measurements and computationa

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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

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Xu, Qian, Jia Yi, Xianyu Wang, Ming-bo Niu, Md Sipon Miah, and Ling Wang. "Secure Unmanned Aerial Vehicle Communication in Dual-Function Radar Communication System by Exploiting Constructive Interference." Drones 8, no. 10 (2024): 581. http://dx.doi.org/10.3390/drones8100581.

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In contrast from traditional unmanned aerial vehicle communication via unlicensed spectrum, connecting unmanned aerial vehicles with cellular networks can extend their communication coverage and improve the quality of their service. In addition, the emerging dual-functional radar communication paradigm in cellular systems can better meet the requirements of location-sensitive tasks such as reconnaissance and cargo delivery. Based on the above considerations, in this paper, we study the simultaneous communication and target sensing issue in cellular-connected unmanned aerial vehicle systems. Sp

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Mykhalevskiy, Dmytro, Volodymyr Vasylyshyn, Vladyslav Riabkov, Ruslan Myronenko, and Dmytro Bryl. "Method for improving the coverage efficiency of wireless sensor networks based on UAVs." Naukovij žurnal «Tehnìka ta energetika» 15, no. 2 (2024): 81–94. http://dx.doi.org/10.31548/machinery/2.2024.81.

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The purpose of this study was to adaptively optimise sensor networks using unmanned aerial vehicles to reduce information losses and ensure the minimum possible technical performance of information transmission channels in the face of a considerable number of architectural obstacles. In this study, experiments were conducted on data transmission via a wireless channel using Wi-Fi technology, where the access point was placed on an unmanned aerial vehicle. The study was conducted in complex architectural settings, using the 2.4 GHz and 5 GHz frequency bands to investigate the behaviour of radio

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Chen, Yancheng, Ning Li, Xijian Zhong, and Wei Xie. "Joint Trajectory and Scheduling Optimization for The Mobile UAV Aerial Base Station: A Fairness Version." Applied Sciences 9, no. 15 (2019): 3101. http://dx.doi.org/10.3390/app9153101.

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Recently, unmanned aerial vehicles (UAVs) have been widely studied in the communication area to work as aerial base stations, due to the high probability of line of sight (LoS) and high flexibility. However, few works consider fairness for the users, which is one of the most important metrics for a network. In this paper, in order to maximize network capacity with the consideration of fairness, trajectory and scheduling of the mobile UAV aerial base station are jointly optimized. Firstly, the problem of maximizing network capacity with the consideration of fairness is formulated. On account of

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Kumar, Kirshna, Sushil Kumar, Omprakash Kaiwartya, Ajay Sikandar, Rupak Kharel, and Jaime Lloret Mauri. "Internet of Unmanned Aerial Vehicles: QoS Provisioning in Aerial Ad-Hoc Networks." Sensors 20, no. 11 (2020): 3160. http://dx.doi.org/10.3390/s20113160.

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Aerial ad-hoc networks have the potential to enable smart services while maintaining communication between the ground system and unmanned aerial vehicles (UAV). Previous research has focused on enabling aerial data-centric smart services while integrating the benefits of aerial objects such as UAVs in hostile and non-hostile environments. Quality of service (QoS) provisioning in UAV-assisted communication is a challenging research theme in aerial ad-hoc networks environments. Literature on aerial ad hoc networks lacks cooperative service-oriented modeling for distributed network environments,

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Jia, Shucong, and Lin Zhang. "Modelling unmanned aerial vehicles base station in ground-to-air cooperative networks." IET Communications 11, no. 8 (2017): 1187–94. http://dx.doi.org/10.1049/iet-com.2016.0808.

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Kapoor, Rajesh, Aasheesh Shukla, and Vishal Goyal. "Performance evaluation of unmanned aerial vehicle communication by increasing antennas of cellular base stations." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 1 (2022): 222. http://dx.doi.org/10.11591/ijeecs.v27.i1.pp222-237.

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The utilization of unmanned aerial vehicles (UAVs) increases with increased performance of their communication link with the ground remote station. Integrating UAVs with existing cellular networks provides the possibility of enhanced performance of communication links. The base stations of existing cellular networks are installed with fixed number of antennas. The performance of UAV communication links can be further enhanced by increasing antennas of cellular base stations of existing networks using multiple antenna techniques such as multi ple input multiple output (MIMO). In this proposed s

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Kapoor, Rajesh, Aasheesh Shukla, and Vishal Goyal. "Performance evaluation of unmanned aerial vehicle communication by increasing antennas of cellular base stations." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 1 (2022): 222–37. https://doi.org/10.11591/ijeecs.v27.i1.pp222-237.

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The utilization of unmanned aerial vehicles (UAVs) increases with increased performance of their communication link with the ground remote station. Integrating UAVs with existing cellular networks provides the possibility of enhanced performance of communication links. The base stations of existing cellular networks are installed with fixed number of antennas. The performance of UAV communication links can be further enhanced by increasing antennas of cellular base stations of existing networks using multiple antenna techniques such as multiple input multiple output (MIMO). In this proposed sc

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Mamedov, Shamsi Elshan ogly, and Elshan Rasif ogly Rahimov. "NFORMATION MODEL OF VEHICLE TELEMATICS DATA CLUSTER COLLECTION USING UAV." SYNCHROINFO JOURNAL 10, no. 2 (2024): 21–27. http://dx.doi.org/10.36724/2664-066x-2024-10-2-21-27.

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Telematics is a set of basic systems that provide services in accordance with user needs. Telematics systems can be classified according to the areas of tasks performed: monitoring the condition of the road, managing the flow of traffic, providing information services to road users, etc. Telematics also allows you to monitor the condition of vehicles or their cargo using remote monitoring methods and technologies. The use of telematic systems and technologies allows for real-time management of transport systems. The article is devoted to the development of an information model for collecting m

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Kovalov, Oleksandr, Alexander Elizarov, Vladimir Kokhanenko та Svyatoslav Manzhura. "Метод локального моніторингу атмосфери за допомогою безпілотних літальних апаратів". Problems of Emergency Situations, № 34 (2021): 208–31. http://dx.doi.org/10.52363/2524-0226-2021-34-16.

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Theoretical substantiation of the method of organization of tropospheric monitoring by means of unmanned aerial vehicles with means of atmospheric monitoring installed on board as an auxiliary technical element of the method of organization of atmospheric monitoring by automated stations located on the basis of base stations of mobile operators is carried out. The analysis of liquidations of consequences of resonant accidents, and also designs and characteristics of unmanned aerial vehicles used at their liquidation is carried out. Modern types and characteristics of measuring equipment that c

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Liu, Yao, Zhong Liu, Jianmai Shi, Guohua Wu, and Chao Chen. "Optimization of Base Location and Patrol Routes for Unmanned Aerial Vehicles in Border Intelligence, Surveillance, and Reconnaissance." Journal of Advanced Transportation 2019 (January 23, 2019): 1–13. http://dx.doi.org/10.1155/2019/9063232.

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The location-routing problem (LRP) of unmanned aerial vehicles (UAV) in border patrol for Intelligence, Surveillance, and Reconnaissance is investigated, where the locations of UAV base stations and the UAV flying routes for visiting the targets in border area are jointly optimized. The capacity of the base station and the endurance of the UAV are considered. A binary integer programming model is developed to formulate the problem, and two heuristic algorithms combined with local search strategies are designed for solving the problem. The experiment design for simulating the distribution of st

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Lipanov, Ilya, Anatoly Khomonenko, and Igor Molodkin. "Comparative Analysis of Precise Positioning Methods for Unmanned Aerial Vehicles." Intellectual Technologies on Transport, no. 1 (March 24, 2025): 27–36. https://doi.org/10.20295/2413-2527-2025-141-27-36.

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With the advancement of unmanned aerial vehicles (UAVs), ensuring an object’s precise positioning has become one of the key challenges especially in environments with limited or no satellite signals. Purpose: to conduct a comparative analysis of Real-Time Kinematic (RTK) and Precise Point Positioning (PPP) methods to evaluate their effectiveness under various UAV operational conditions. Results: the study revealed that RTK provides high real-time accuracy when a base station is available making it suitable for tasks requiring rapid analytics, such as in urban agglomerations. In contrast, PPP e

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Burçin, ATASEVEN DOĞRU. "Eliminating the Communication Problem That May Occur After an Earthquake by Positioning Flying Base Stations." International Journal of Contemporary Social Sciences 2, no. 1 (2024): 1–7. https://doi.org/10.5281/zenodo.14882453.

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Earthquakes cause severe disruptions to communication networks, delaying critical rescueoperations. This study investigates the use of Unmanned Aerial Vehicles (UAVs) andFlying Base Stations (FBS) to establish temporary GSM coverage in disaster-stricken areas,inspired by the February 2023 Kahramanmaraş earthquake. Using a Location CoveringModel implemented in GAMS, we optimized FBS deployment to minimize costs whileensuring effective coverage. The model identifies strategic charging station locations anddrone assignments to maximize efficiency. Our findings demonstrate that UAV-basedcommunicat

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Zhai, Yikui, Qirui Ke, Ying Xu, et al. "Mobile Communication Base Station Antenna Measurement Using Unmanned Aerial Vehicle." IEEE Access 7 (2019): 119892–903. http://dx.doi.org/10.1109/access.2019.2935613.

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Tuyishimire, Emmanuel, Antoine Bagula, Slim Rekhis, and Noureddine Boudriga. "Trajectory Planing for Cooperating Unmanned Aerial Vehicles in the IoT." IoT 3, no. 1 (2022): 147–68. http://dx.doi.org/10.3390/iot3010010.

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The use of Unmanned Aerial Vehicles (UAVs) in data transport has attracted a lot of attention and applications, as a modern traffic engineering technique used in data sensing, transport, and delivery to where infrastructure is available for its interpretation. Due to UAVs’ constraints such as limited power lifetime, it has been necessary to assist them with ground sensors to gather local data, which has to be transferred to UAVs upon visiting the sensors. The management of such ground sensor communication together with a team of flying UAVs constitutes an interesting data muling problem, which

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Chen, Zikang, Ming Zeng, and Zesong Fei. "Joint Unmanned Aerial Vehicle Location and Beamforming and Caching Optimization for Cache-Enabled Multi-Unmanned-Aerial-Vehicle Networks." Electronics 12, no. 16 (2023): 3438. http://dx.doi.org/10.3390/electronics12163438.

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Due to the advantages such as high flexibility, low cost and easy implementation offered by unmanned aerial vehicles (UAVs), a UAV-assisted network is regard as an appealing solution to a seamless coverage, high disaster-tolerant and on-demand wireless system. In this paper, we focus on the downlink transmission in a cache-enabled UAV-assisted wireless communication network, where UAVs cache popular content from a macro base station in advance and cooperatively transfer the content to users. We aim to minimize the average transmission latency of the system and to formulate an optimization prob

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Kabashkin, Igor. "Availability of Services in Wireless Sensor Network with Aerial Base Station Placement." Journal of Sensor and Actuator Networks 12, no. 3 (2023): 39. http://dx.doi.org/10.3390/jsan12030039.

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Internet of Things technologies use many sensors combined with wireless networks for cyber-physical systems in various applications. Mobility is an essential characteristic for many objects that use sensors. In mobile sensor networks, the availability of communication channels is crucial, especially for mission-critical applications. This article presents models for analyzing the availability of sensor services in a wireless network with aerial base station placement (ABSP), considering the real conditions for using unmanned aerial vehicles (UAVs). The studied system uses a UAV-assisted mobile

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Khan, Inam Ullah, Muhammad Abul Hassan, Mohammad Dahman Alshehri, et al. "Monitoring System-Based Flying IoT in Public Health and Sports Using Ant-Enabled Energy-Aware Routing." Journal of Healthcare Engineering 2021 (July 1, 2021): 1–11. http://dx.doi.org/10.1155/2021/1686946.

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In recent decades, the Internet of flying networks has made significant progress. Several aerial vehicles communicate with one another to form flying ad hoc networks. Unmanned aerial vehicles perform a wide range of tasks that make life easier for humans. However, due to the high frequency of mobile flying vehicles, network problems such as packet loss, latency, and perhaps disrupted channel links arise, affecting data delivery. The use of UAV-enabled IoT in sports has changed the dynamics of tracking and working on player safety. WBAN can be merged with aerial vehicles to collect data regardi

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Warczek, Jan, Jarosław Kozuba, Marek Marcisz, Wiesław Pamuła, and Krzysztof Dyl. "Research on Mobile Network Parameters Using Unmanned Aerial Vehicles." Sensors 24, no. 17 (2024): 5526. http://dx.doi.org/10.3390/s24175526.

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The study of phenomena related to the propagation of electromagnetic waves is a necessity with the development of mobile telephony networks. This paper deals with the problem of the quality of mobile telephony signals. The study uses a BTS scanner, dedicated to scanning the frequency spectrum and decoding information from base stations. The device is capable of scanning mobile networks from the second, third, fourth, and fifth generation (2G/3G/4G/5G) using a passive sensor. The article presents preliminary results of monitoring cellular network signals using a scanner mounted on an unmanned a

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Mendes Ruiz, P., X. Begaud, F. Magne, E. Leder, and A. Khy. "Microstrip Antenna Array Design for Unmanned Aerial Vehicles Detection Radar." Advanced Electromagnetics 12, no. 3 (2023): 1–9. http://dx.doi.org/10.7716/aem.v12i3.2066.

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This work presents the design and realization of four linear arrays of microstrip rectangular patch antennas. This linear array is one of the elements of a passive radar using signals from 4G base stations for UAV detection. The arrays have been validated and operate from 2.62 GHz to 2.69 GHz, with a HPBW of 82° in H-plane and a maximal gain going from 11.1 dB to 12.2 dB in the required bandwidth, with a cosecant squared pattern in the E-plane.

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Abdulhafed Sehree, Noor, and Abdulsattar Mohammed Khidhir. "Olive trees cases classification based on deep convolutional neural network from unmanned aerial vehicle imagery." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 1 (2022): 92. http://dx.doi.org/10.11591/ijeecs.v27.i1.pp92-101.

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Unmanned aerial vehicles (UAVs) are one of the various aerial remote sensing platforms with ease of use and cost-effectiveness it can deliver high-resolution imaging, obtained using a variety of sensors. Photogrammetric data is derived by the use of unmanned aerial systems (UAS, which consists of a UAV, sensor(s), and base station). As a result of these types, vegetation monitoring is conceivable. Deep neural networks have had a lot of success with image classification tasks, especially in the remote sensing field. In this paper, we demonstrate how deep neural networks can be used to classify

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Sehree, Noor Abdulhafed, and Abdulsattar Mohammed Khidhir. "Olive trees cases classification based on deep convolutional neural network from unmanned aerial vehicle imagery." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 1 (2022): 92–101. https://doi.org/10.11591/ijeecs.v27.i1.pp92-101.

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Unmanned aerial vehicles (UAVs) are one of the various aerial remote sensing platforms with ease of use and cost-effectiveness it can deliver highresolution imaging, obtained using a variety of sensors. Photogrammetric data is derived by the use of unmanned aerial systems (UAS, which consists of a UAV, sensor(s), and base station). As a result of these types, vegetation monitoring is conceivable. Deep neural networks have had a lot of success with image classification tasks, especially in the remote sensing field. In this paper, we demonstrate how deep neural networks can be used to classify o

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Shakhatreh, Hazim, Khaled Hayajneh, Khaled Bani-Hani, Ahmad Sawalmeh, and Muhammad Anan. "Cell on Wheels-Unmanned Aerial Vehicle System for Providing Wireless Coverage in Emergency Situations." Complexity 2021 (November 22, 2021): 1–9. http://dx.doi.org/10.1155/2021/8669824.

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Due to natural disasters, unmanned aerial vehicles (UAVs) can be deployed as aerial wireless base stations when conventional cellular networks are out of service. They can also supplement the mobile ground station to provide wireless devices with improved coverage and faster data rates. Cells on wheels (CoWs) can also be utilized to provide enhanced wireless coverage for short-term demands. In this paper, a single CoW cooperates with a single UAV in order to provide maximum wireless coverage to ground users. The optimization problem is formulated to find the following: (1) the optimal 2D place

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Mukerjee, Laaboni, Mukul Yadav, Amit Choraria, Atharv Tendolkar, Arjun Hariharan, and M. M. Manohara Pai. "Aerodock (a smart, autonomous charging and docking station for unmanned aerial vehicles)." Journal of Physics: Conference Series 2161, no. 1 (2022): 012058. http://dx.doi.org/10.1088/1742-6596/2161/1/012058.

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Abstract The COVID-19 pandemic has laid bare the need for contactless operations. While unmanned aerial vehicles (UAVs) are being developed to aid humans in countless domains, the need for effective battery management and performance optimization remains a huge task. The proposed solution, the “AeroDock”, aims to tackle these challenges by using wireless power transfer (WPT) technology coupled with smart monitoring of the drone’s health. The performance and hardware checks are assessed at the user end via cloud computing and IoT technology. This system is contact-less, safe, reliable and its u

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Mignardi, Silvia, Chiara Buratti, Alessandro Bazzi, and Roberto Verdone. "Trajectories and Resource Management of Flying Base Stations for C-V2X." Sensors 19, no. 4 (2019): 811. http://dx.doi.org/10.3390/s19040811.

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In a vehicular scenario where the penetration of cars equipped with wireless communication devices is far from 100% and application requirements tend to be challenging for a cellular network not specifically planned for it, the use of unmanned aerial vehicles (UAVs), carrying mobile base stations, becomes an interesting option. In this article, we consider a cellular-vehicle-to-anything (C-V2X) application and we propose the integration of an aerial and a terrestrial component of the network, to fill the potential unavailability of short-range connections among vehicles and address unpredictab

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Zou, Jie Tong, Chi Yi Wang, Yue Min Wang, Ming Cong Lu, Hong Yan Ren, and Yi Jia Qiu. "Integration of 3G Wireless Image Transmission System with the Aerial Search and Rescue UAV." Applied Mechanics and Materials 764-765 (May 2015): 708–12. http://dx.doi.org/10.4028/www.scientific.net/amm.764-765.708.

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With the rapid development of unmanned aerial vehicles (UAV), the applications of the UAV are more and more extensively, and one of the important applications is aerial search and rescue. Using the UAV for search and rescue can save cost and avoid the risk of personal injury. Nowadays, the UAV usually use analog 1.2GHz, 2.4GHz or 5.8GHz real-time video transmission system. Because of the limited transmission bandwidth, the maximum resolution is only 640*480, which is not enough for aerial search. It is difficult to search and identify the small target by this aerial image with only 640*480 res

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Dias Santana, Guilherme Marcel, Rogers Silva de Cristo, and Kalinka Regina Lucas Jaquie Castelo Branco. "Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview." Sensors 21, no. 3 (2021): 830. http://dx.doi.org/10.3390/s21030830.

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Unmanned Aerial Vehicles (UAVs) demand technologies so they can not only fly autonomously, but also communicate with base stations, flight controllers, computers, devices, or even other UAVs. Still, UAVs usually operate within unlicensed spectrum bands, competing against the increasing number of mobile devices and other wireless networks. Combining UAVs with Cognitive Radio (CR) may increase their general communication performance, thus allowing them to execute missions where the conventional UAVs face limitations. CR provides a smart wireless communication which, instead of using a transmissi

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Hu, Aihua, Zhongliang Deng, Hui Yang, Yao Zhang, Yuhui Gao, and Di Zhao. "An Optimal Geometry Configuration Algorithm of Hybrid Semi-Passive Location System Based on Mayfly Optimization Algorithm." Sensors 21, no. 22 (2021): 7484. http://dx.doi.org/10.3390/s21227484.

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In view of the demand of location awareness in a special complex environment, for an unmanned aerial vehicle (UAV) airborne multi base-station semi-passive positioning system, the hybrid positioning solutions and optimized site layout in the positioning system can effectively improve the positioning accuracy for a specific region. In this paper, the geometric dilution of precision (GDOP) formula of a time difference of arrival (TDOA) and angles of arrival (AOA) hybrid location algorithm is deduced. Mayfly optimization algorithm (MOA) which is a new swarm intelligence optimization algorithm is

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Zeng, Chenxi, Zhongliang Deng, Jiyang Ma, and Shengsong Yang. "Two-Stage Channel Adaptive Algorithm for Unmanned Aerial Vehicles Localization with Cellular Networks." Scientific Programming 2021 (November 8, 2021): 1–8. http://dx.doi.org/10.1155/2021/8946885.

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Unmanned aerial vehicle (UAV) is regarded as a powerful tool to expand the existing ground wireless network into aerial space. Since high mobility is an essential characteristic for UAV, it is important to carry out an accurate, real-time, and high-precision localization in terms of safe operation and communication link maintenance. The cellular network-based localization technology has provided UAV a solution with both high coverage and seamless connection. However, the complex channel environment between the UAV and terrestrial base station (BS) would have weakened the localization performan

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Tian, Fengyuan. "Closed Trajectory Optimization for Aerial Base Station: An Energy Efficiency Design." Frontiers in Computing and Intelligent Systems 2, no. 2 (2023): 89–96. http://dx.doi.org/10.54097/fcis.v2i2.4602.

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By optimizing the energy-efficient flight trajectory of unmanned aerial vehicles (UAVs), UAV-based aerial base stations (BSs) can provide longer communication services to more ground nodes (GNs) under the UAV battery limitation. Path discretization method and successive convex approximation (SCA) algorithm have been shown to be effective techniques in the design of the energy-aware UAV one-way trajectory along a few GNs. Compared with current studies, this paper designed and compared different optimal closed UAV trajectories among multiple GNs under a wide range of changing communication requi

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Jiao, Xiaoshuang, Jinming Chen, Lifeng Jiang, et al. "A Distributed Low-Degree-of-Freedom Aerial Target Localization Method Based on Hybrid Measurements." Remote Sensing 17, no. 10 (2025): 1705. https://doi.org/10.3390/rs17101705.

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For real-time detection scenarios such as battlefield reconnaissance and surveillance, where high positioning accuracy is required and receiving station resources are limited, we propose an innovative distributed aerial target localization method with low degrees of freedom. This method is based on a hybrid measurement approach. First, a measurement model is established using the spatial geometric relationship between the distributed node network configuration and the target, with angle of arrival (AOA) and time difference of arrival (TDOA) measurements employed to estimate partial target para

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Vaigandla, Karthik Kumar, Sravani Thatipamula, and Radha Krishna Karne. "Investigation on Unmanned Aerial Vehicle (UAV): An Overview." IRO Journal on Sustainable Wireless Systems 4, no. 3 (2022): 130–48. http://dx.doi.org/10.36548/jsws.2022.3.001.

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Unmanned Aerial Vehicles (UAVs) are becoming increasingly popular these days. One among the major technological developments of today are UAVs or drones. The coordination and coverage capabilities of large clusters of UAVs, or their cooperative capabilities for such goals as terrain mapping, make them of particular interest. This paper explores the use of unmanned aerial vehicles in smart and modern cities in depth. Future wireless networks will likely include UAVs to facilitate wireless broadcasting and support high-speed transmissions. Various layer techniques are discussed in this paper. Mo

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Song, Yi, Yiwen Zhu, Kun Chen-Hu, Xinhua Lu, Peng Sun, and Zhongyong Wang. "Message Passing Detectors for UAV-Based Uplink Grant-Free NOMA Systems." Drones 8, no. 7 (2024): 325. http://dx.doi.org/10.3390/drones8070325.

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Utilizing unmanned aerial vehicles (UAVs) as mobile access points or base stations has emerged as a promising solution to address the excessive traffic demands in wireless networks. This paper investigates improving the detector performance at the unmanned aerial vehicle base stations (UAV-BSs) in an uplink grant-free non-orthogonal multiple access (GF-NOMA) system by considering the activity state (AS) temporal correlation of the different user equipments (UEs) in the time domain. The Bernoulli Gaussian-Markov chain (BG-MC) probability model is used for exploiting both the sparsity and slow c

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Pomarnacki, Raimondas, Domantas Bručas, Tomas Jačionis, and Darius Plonis. "Unmanned Aerial Vehicles for the Monitoring of Telecommunication Towers from the Engineering Approach." Drones 9, no. 4 (2025): 308. https://doi.org/10.3390/drones9040308.

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In this article, the authors conducted electromagnetic radiation research on telecommunication base stations using Unmanned Aerial Vehicles (UAVs). Until now, UAVs have only been capable of performing visual inspections, without investigating electrical parameters. The authors suggest a method that involves using a spectrum analyzer and an automated flight with a predefined trajectory around the base stations to conduct electromagnetic radiation research, which is used by telecommunication regulatory organizations. Two different types of UAVs were used in this work: a drone and a fixed-wing ai

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Sun, Jingke, and Kang Ma. "Survey on Unmanned Aerial Vehicle Communications for 6G." Journal of Computing and Electronic Information Management 14, no. 2 (2024): 92–99. http://dx.doi.org/10.54097/x7562804.

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Although the application of the fifth-Generation (5G) mobile communication has brought tremendous innovations to the daily life of human beings, e.g., autonomous vehicles and internet of everything, the upcoming huger data requirement leads to the emergence of the sixth-Generation (6G) mobile communication. Compared to 5G, the transmission rate, time delay, and wireless coverage need to be improved significantly. Thus, in this paper the applications of Unmanned Aerial Vehicles (UAVs) to the ubiquitous, intelligent and coupling 6G network are surveyed. First, the utilization of UAVs in the fram

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Salam, Abdu, Qaisar Javaid, and Masood Ahmad. "Bio-inspired cluster–based optimal target identification using multiple unmanned aerial vehicles in smart precision agriculture." International Journal of Distributed Sensor Networks 17, no. 7 (2021): 155014772110340. http://dx.doi.org/10.1177/15501477211034071.

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Farming is the major profession in several republics for centuries. However, due to the immigration of individuals from rural to urban, there is prevention in farming. The use of modern technology in the precision agriculture field increases productivity and also improves the exports of a country. The productivity may suffer due to different environmental factors, diseases and insects attacks on the crops, especially tomatoes. The target area (i.e. the affected crops area due to environmental factors) identification and delivery of timely information about diseases in the crops to the ground s

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Shan, Lin, Ryu Miura, Takashi Matsuda, Miho Koshikawa, Huan-Bang Li, and Takeshi Matsumura. "Vehicle-to-Vehicle Based Autonomous Flight Coordination Control System for Safer Operation of Unmanned Aerial Vehicles." Drones 7, no. 11 (2023): 669. http://dx.doi.org/10.3390/drones7110669.

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The exponential growth of unmanned aerial vehicles (UAVs) or drones in recent years has raised concerns about their safe operation, especially in beyond-line-of-sight (BLOS) scenarios. Existing unmanned aircraft system traffic management (UTM) heavily relies on commercial communication networks, which may become ineffective if network infrastructures are damaged or disabled. For this challenge, we propose a novel approach that leverages vehicle-to-vehicle (V2V) communications to enhance UAV safety and efficiency in UAV operations. In this study, we present a UAV information collection and shar

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