A Practical Deployment of a Communication Infrastructure to Support the Employment of Multiple Surveillance Drones Systems

Basso, Maik; Zacarias, Iulisloi; Leite, Carlos Eduardo; Wang, Haijun; Freitas, Edison Pignaton de

doi:10.3390/drones2030026

Cited by 15 publications

(6 citation statements)

References 17 publications

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“…Such an application requires efficient deployment model for setting up the communication between the UAVs and the ground station. To address this issue, Maik Basso et al [5] proposed a network infrastructure to support the operation of multiple surveillance drones. Their proposed model uses the existing MAVLink protocol, which is considered as a strong benchmark for UAVs to ground communications.…”

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confidence: 99%

Advances in Drone Communications, State-of-the-Art and Architectures

Sharma

2019

Drones

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mentioning

confidence: 99%

Advances in Drone Communications, State-of-the-Art and Architectures

Sharma

2019

Drones

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“…This protocol includes a set of bidirectional communication messages, that can be extended depending on specific needs [ 26 ] and allows the control of multiple vehicle types. This paper goes through the same principles: define and create protocols to control and monitor UVs [ 27 ]. One of the downsides of MAVLink is that users and developers will find extensive and complex documentation and procedures to use this protocol.…”

Section: Unmanned Vehicles Platformsmentioning

confidence: 99%

Distributed Architecture for Unmanned Vehicle Services

Ramos

Ribeiro

Safadinho

et al. 2021

Sensors

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The demand for online services is increasing. Services that would require a long time to understand, use and master are becoming as transparent as possible to the users, that tend to focus only on the final goals. Combined with the advantages of the unmanned vehicles (UV), from the unmanned factor to the reduced size and costs, we found an opportunity to bring to users a wide variety of services supported by UV, through the Internet of Unmanned Vehicles (IoUV). Current solutions were analyzed and we discussed scalability and genericity as the principal concerns. Then, we proposed a solution that combines several services and UVs, available from anywhere at any time, from a cloud platform. The solution considers a cloud distributed architecture, composed by users, services, vehicles and a platform, interconnected through the Internet. Each vehicle provides to the platform an abstract and generic interface for the essential commands. Therefore, this modular design makes easier the creation of new services and the reuse of the different vehicles. To confirm the feasibility of the solution we implemented a prototype considering a cloud-hosted platform and the integration of custom-built small-sized cars, a custom-built quadcopter, and a commercial Vertical Take-Off and Landing (VTOL) aircraft. To validate the prototype and the vehicles’ remote control, we created several services accessible via a web browser and controlled through a computer keyboard. We tested the solution in a local network, remote networks and mobile networks (i.e., 3G and Long-Term Evolution (LTE)) and proved the benefits of decentralizing the communications into multiple point-to-point links for the remote control. Consequently, the solution can provide scalable UV-based services, with low technical effort, for anyone at anytime and anywhere.

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“…Recently, unmanned aerial vehicles (UAVs) have witnessed rapid advancements in technology. UAVs have numerous applications in different fields, ranging from aerial photography to public health care, disaster management, inspection of industrial facilities, vegetation mapping, wetland ecosystem monitoring, traffic monitoring, and delivery of automated external defibrillators (AEDs) and other items [1][2][3][4][5][6][7][8][9][10][11][12] based on the ability to efficiently carry out diverse tasks, including those with reduced operational cost compared to satellites and conventional aircraft, those in areas preventing ready access by human resources, and those requiring high mobility unaltered by traffic congestion or topography [13].…”

Section: Introductionmentioning

confidence: 99%

Selection of Take-Off and Landing Sites for Firefighter Drones in Urban Areas Using a GIS-Based Multi-Criteria Model

Kim

Hong

Lee

et al. 2022

Drones

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Currently, firefighter drones in South Korea underperform due to the lack of take-off site reservations in advance. In order to address this issue, this study proposes a GIS-based multi-criteria model for selecting take-off and landing sites for firefighter drones in urban areas. Seven criteria were set for the selection of take-off and landing sites based on building roofs. Buildings at 318 sites in the target area that satisfy all seven criteria were extracted and grouped according to the geographical location. Among the grouped buildings, 11 sites were reselected through network analysis and central feature methods. In addition, two more sites were selected through the relaxation of criteria for take-off and landing sites for firefighter drones. Validation was performed using the data of building fires that occurred in the target area in the past. The results confirmed the effectiveness of the method applied in this study, as potential responses could be verified for ≥95% of the buildings with a past fire incidence. By introducing a simple methodology in which a multi-criteria model is built through spatial information, this study contributes to the literature on improving operational firefighting strategies and provides practitioners and policymakers with valuable insights to support decision-making.

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A Practical Deployment of a Communication Infrastructure to Support the Employment of Multiple Surveillance Drones Systems

Cited by 15 publications

References 17 publications

Advances in Drone Communications, State-of-the-Art and Architectures

Advances in Drone Communications, State-of-the-Art and Architectures

Distributed Architecture for Unmanned Vehicle Services

Selection of Take-Off and Landing Sites for Firefighter Drones in Urban Areas Using a GIS-Based Multi-Criteria Model

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