A Taxonomy and Survey on Experimentation Scenarios for Aerial Advanced Wireless Testbed Platforms

Chowdhury, Moin Uddin; Anjinappa, Chethan Kumar; Güvenç, İsmail; Sichitiu, Mihail L.; Özdemir, Özgür; Bhattacherjee, Udita; Dutta, Rudra; Marojevic, Vuk; Floyd, Brian

doi:10.1109/aero50100.2021.9438449

Cited by 8 publications

(4 citation statements)

References 145 publications

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“…Table 6 helps researchers to identify and to choose the right FANETs performances analysis tools (Chowdhury et al, 2021; Gill et al, 2021; Hentati et al, 2018; Kang et al, 2016).…”

Section: Analysis Of the Specific Questionsmentioning

confidence: 99%

A systematic literature review of flying ad hoc networks: State‐of‐the‐art, challenges, and perspectives

Pasandideh

Costa

Kunst

et al. 2023

Journal of Field Robotics

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Unmanned aerial vehicles (UAVs), also known as drones, communicate, collaborate, and form flying ad hoc networks (FANETs) to perform many different missions, ranging from delivery tasks to agriculture applications. Recently, FANETs have been integrated with different technologies, such as artificial intelligence (AI), virtual reality, and Internet of Things. Such new avenues for the use of UAVs directly impact the research on FANETs and cause some major challenges, such as security and physical layer issues, resource management, and UAV positioning issues that need to be addressed. Several researchers have been working for the last few years to propose AI and machine learning (ML)‐based solutions for different use cases in UAV‐based networks. They present the limitations of the existing research work and highlight some possible future works on FANETs. However, exhibiting the trends in the UAV research papers in a quantitative manner is still required to motivate researchers to rethink the research on FANETs. Therefore, this study covers more than 170 scientific publications extracted from five trusted academic databases published from 2013 to 2021 to provide a thorough overview of the main research and development statistics in the area of FANETs, the open challenges existing in this area and the ML‐based solutions to solve these challenges. In addition, the investigation of emerging technologies integrated with FANETs, as well as the simulation tools employed for evaluating FANETs' performance are discussed. Moreover, the future research directions in the area of FANETs are considered within a prospective vision discussion.

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“…Table 6 helps researchers to identify and to choose the right FANETs performances analysis tools (Chowdhury et al, 2021; Gill et al, 2021; Hentati et al, 2018; Kang et al, 2016).…”

Section: Analysis Of the Specific Questionsmentioning

confidence: 99%

A systematic literature review of flying ad hoc networks: State‐of‐the‐art, challenges, and perspectives

Pasandideh

Costa

Kunst

et al. 2023

Journal of Field Robotics

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“…The collected measurement data are available to experimenters to view and analyze back in the virtual environment, e.g., comparing with the results obtained in the emulation environment. AERPAW offers various experiment scenarios and sample experiments for its users with fixed and portable nodes as well as autonomous UAVs [10]. In addition, AERPAW experiment sites cover rural (Lake Wheeler Road Field Labs), suburban, and urban (Centennial Campus) environments as shown in Fig.…”

Section: A Aerpaw Platform Descriptionmentioning

confidence: 99%

Spectrum Activity Monitoring and Analysis for Sub-6 GHz Bands Using a Helikite

Maeng

Özdemir

Nandakumar

et al. 2023

2023 15th International Conference on COMmunication Systems &Amp; NETworkS (COMSNETS)

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Recently, unmanned aerial vehicles (UAVs) have been receiving significant attention due to their wide range of potential application areas. To support UAV use cases with beyond visual line of sight (BVLOS) and autonomous flights, cellular networks can serve as ground connectivity points, and they can provide remote control and payload communication for UAV links. However, there are limited data sets to study the coverage of cellular technologies for UAV flights at different altitudes and develop machine learning (ML) techniques for improving UAV communication and navigation. In this article, we present raw LTE I/Q sample data sets from physical field experiments in the Lake Wheeler farm area of the NSF AERPAW experimentation platform. We fly a UAV that carries a softwaredefined radio (SDR) at altitudes ranging from 30 m to 110 m and collect raw I/Q samples from an SDR-based LTE base station on the ground operating at 3.51 GHz. We adopt a standard metadata format for reproducing the results from the collected data sets. The post-processing of raw I/Q samples using MATLAB's 4G LTE toolbox is described and various representative results are provided. In the end, we discuss the possible ways that our provided data set, post-processing sample code, and sample experiment code for collecting I/Q measurements and vehicle control can be used by other ML researchers in the future.

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“…Therefore, many flexible simulation tools, frameworks, emulators, and testbeds have been developed to make it possible to create, implement, test, and evaluate schemes virtually without requiring realworld implementation. The available FANET performances analysis tools include AVENS, CUSCUS, Simbeeotic, UAVSim, UTSim, FANETSim, Netsim, OMNeT++, NS2,NS3, OPNET, ROS-NetSim, MATLAB, TOSSIM, QualNet, GloMoSim, YANS, ONE, SSFNet, FlynetSim, J-Sim, BonnMotion, GAZEBO, AirSim, RoboNetSim, Mininet-Wifi, and SUMO, each of which supports different mobility models, operating system, and programming languages [119][120][121][122]. Table 2 shows additional details about each simulator.…”

Section: Simulation Toolsmentioning

confidence: 99%

A Review of Flying Ad Hoc Networks: Key Characteristics, Applications, and Wireless Technologies

et al. 2022

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Recent advances in unmanned aerial vehicles (UAVs), or drones, have made them able to communicate and collaborate, forming flying ad hoc networks (FANETs). FANETs are becoming popular in many application domains, including precision agriculture, goods delivery, construction, environment and climate monitoring, and military surveillance. These interesting new avenues for the use of UAVs are motivating researchers to rethink the existing research on FANETs. Therefore, this paper provides a comprehensive and thorough review of the different types of UAVs used in FANETs, their mobility models, main characteristics, and applications, as well as the routing protocols used in this type of network. Other important contributions of this paper include the investigation of emerging technologies integrated with FANETs.

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A Taxonomy and Survey on Experimentation Scenarios for Aerial Advanced Wireless Testbed Platforms

Cited by 8 publications

References 145 publications

A systematic literature review of flying ad hoc networks: State‐of‐the‐art, challenges, and perspectives

A systematic literature review of flying ad hoc networks: State‐of‐the‐art, challenges, and perspectives

Spectrum Activity Monitoring and Analysis for Sub-6 GHz Bands Using a Helikite

A Review of Flying Ad Hoc Networks: Key Characteristics, Applications, and Wireless Technologies

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