Energy conservation of V-shaped swarming fixed-wing drones through position reconfiguration

Mirzaeinia, Amir; Hassanalian, Mostafa; Lee, Kooktae; Mirzaeinia, Mehdi

doi:10.1016/j.ast.2019.105398

Cited by 59 publications

(13 citation statements)

References 29 publications

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“…UAV systems have applied to a plethora of this type of applications over recent years [1][2][3][4][5][6] . Applying swarming UAV-mounted mobile base stations as on-demand cellular network infrastructure has been proposed to cover temporary high traffic requests.…”

Section: Introductionmentioning

confidence: 99%

Placement of UAV-Mounted Mobile Base Station through User Load-Feature K-means Clustering

Mirzaeinia

Shekaramiz

et al. 2020

Aiaa Aviation 2020 Forum

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Temporary high traffic requests in cellular networks is a challenging problem to address. Recent advances in Unmanned Aerial Vehicles applied to cover these types of traffics. UAV-Mounted Mobile Base Stations placement is a challenging problem to achieve high performance. Different approaches have been proposed; however, user required traffic is not considered in UAV placement. We propose a new feature to apply to K-means clustering to find the optimum clusters. User required traffic is defined as a new feature to assign users to the UAVs. Our simulation results show that UAVs could be placed closer to the high traffic users to achieve higher performance.

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Section: Introductionmentioning

confidence: 99%

Placement of UAV-Mounted Mobile Base Station through User Load-Feature K-means Clustering

Mirzaeinia

Shekaramiz

et al. 2020

Aiaa Aviation 2020 Forum

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“…One application introduces the use of different geometrical flight formations in 3D scene reconstructions [15]. For energy conservation purposes, using a Vee formation in a fixed wing UAV swarm has proven to behave similar to birds [16]. However, to the best of our knowledge the study of other types of formations for energy conservation purposes has not been explored yet.…”

Section: Related Workmentioning

confidence: 99%

“…4.1.1 Downwash and Upwash Forces. The study of trailing forces generated by wings have been largely studied in birds and fixed wing planes [16]. As a bird flaps, a rotating vortex of air rolls off of each of its wingtips.…”

Section: Forces On a Drones Swarmmentioning

confidence: 99%

Formation-based Selection of Drone Swarm Services

Alkouz

Bouguettaya

2020

MobiQuitous 2020 - 17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

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Swarm of drones are increasingly being asked to carry out missions that can't be completed by one drone. Particularly, in delivery, issues arise due to the swarm's limited flight endurance. Hence, we propose a novel formation-guided framework for selecting Swarmbased Drone-as-a-Service (SDaaS) for delivery. A detailed study is carried out to highlight the effect of swarm formations on energy consumption. Two SDaaS selection approaches, i.e. Fixed and Adaptive, are designed considering the different formation decisions a swarm can take. The proposed framework considers extrinsic constraints including wind speed and direction. We propose SDaaS selection algorithms for each approach. Experimental results prove the efficiency of the proposed algorithms. CCS CONCEPTS• Computer systems organization → Robotic autonomy; • Applied computing → Service-oriented architectures.

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“…Some research works have used the formation flight as a way to improve the performance of the aircraft in their missions, getting benefits such as the time reduction of the task, coverage in iterative applications, and even reductions in the induced drag, allowing maximum endurance and range. 1,2 In Cao and Ren 3 a distributed and coordinated tracking based on variable structure approach for group of autonomous vehicles was presented, and the consensus tracking problem was solved in which a group of autonomous vehicles can track a virtual leader.…”

Section: Introductionmentioning

confidence: 99%

A sectorial fuzzy consensus algorithm for the formation flight of multiple quadrotor unmanned aerial vehicles

Ollervides-Vazquez

Rojo-Rodriguez

Garcia‐Salazar

et al. 2020

International Journal of Micro Air Vehicles

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This paper presents an algorithm based on fuzzy theory for the formation flight of the multi-quadrotors. For this purpose, the mathematical model of N-quadrotor unmanned aerial vehicles is presented using the Newton-Euler formulation. The strategy of the formation flight is based on a structure composed by a sectorial fuzzy controller and the linear systems whose state variables are the position and velocity of the ith quadrotor. The stability analysis is described as a generalized form for N-quadrotor unmanned aerial vehicles and it is based on the Lyapunov theory. This analysis demonstrates that the closed-loop system is globally asymptotically stable so that the quadrotors unmanned aerial vehicles reach the consensus. Numerical simulation demonstrates the robustness of the proposed scheme for the formation flight even in the presence of disturbances. Finally, experimental results show the feasibility of the proposed algorithm for the formation flight of multiple unmanned aerial vehicles.

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Energy conservation of V-shaped swarming fixed-wing drones through position reconfiguration

Cited by 59 publications

References 29 publications

Placement of UAV-Mounted Mobile Base Station through User Load-Feature K-means Clustering

Placement of UAV-Mounted Mobile Base Station through User Load-Feature K-means Clustering

Formation-based Selection of Drone Swarm Services

A sectorial fuzzy consensus algorithm for the formation flight of multiple quadrotor unmanned aerial vehicles

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