Distributed coordinated task allocation for heterogeneous UAVs based on capacities

Di, Bin; Zhou, Rui; Wu, Jiang; Chen, Shaodong

doi:10.1109/icca.2013.6565113

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…With the development of UAV technology, one UAV can be equipped with diverse devices that support multiple capabilities, such as data collection, ground reconnaissance, and audio monitoring at the same time. Therefore, the problem of multi-task assigned by multi-UAV was raised [11]- [13]. In [11], multiple UAVs with different capacities were assigned to performing tasks with heterogeneous requirements.…”

Section: A Background and Motivationmentioning

confidence: 99%

“…Therefore, the problem of multi-task assigned by multi-UAV was raised [11]- [13]. In [11], multiple UAVs with different capacities were assigned to performing tasks with heterogeneous requirements. In [12], the UAV can perform multiple tasks such as forward data as a relay and coverage of the task area.…”

Section: A Background and Motivationmentioning

confidence: 99%

“…when the UAV is hovering, UAV's power consumption is a constant P h . As shown in (11), if UAVs in the same task area have more overlapping tasks, the time of UAVs performing the tasks will be shorter, this will reduce the hovering energy loss of UAVs.…”

Section: ) Uav Energy Consumption Modelmentioning

confidence: 99%

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Energy Efficient Task Cooperation for Multi-UAV Networks: A Coalition Formation Game Approach

Luan

Liu

et al. 2020

IEEE Access

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In this paper, we study the multi-task cooperation problem for unmanned aerial vehicle (UAV) swarms, where the UAV energy consumption is taken into consideration during location scheduling and task implementation. One task may need the cooperation of several UAVs with specific capabilities. To avoid unreasonable task allocation, we quantify the mission properties of UAVs and task areas. We comprehensively consider the overlapping and complementary relationship of the UAV's task types, so that UAVs can form corresponding collective execution tasks according to the task attributes. Based on the coalition game theory, we model the distributed task assignment problem of UAVs as a coalition formation game (CFG). We propose a task allocation algorithm, and then prove that it can achieve the joint optimization of energy and task completion by decision-making of UAVs in finite iterations. With the equilibrium properties of coalition formation in UAV networks, we further optimize the position of UAVs to minimize the network energy consumption. Simulation results verify that the proposed method can reduce the flight loss with high task completion degree.

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Section: A Background and Motivationmentioning

confidence: 99%

Section: A Background and Motivationmentioning

confidence: 99%

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Energy Efficient Task Cooperation for Multi-UAV Networks: A Coalition Formation Game Approach

Luan

Liu

et al. 2020

IEEE Access

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“…Consequently, there is a critical need for a robust task allocation auction algorithm that can function effectively in complex underwater scenarios. While the task reward feedback mechanism introduced by Bin et al [23] and Li et al [13] has proven to be effective in reducing costs and facilitating dynamic task allocation under intricate underwater conditions, it does not consider the effects of the AUVs' kinematic models. Addressing this gap is essential for developing an auction algorithm that is not only cost-effective but also kinematically aware, ensuring efficient task allocation in the face of the dynamic and often unpredictable underwater environment.…”

Section: Introductionmentioning

confidence: 99%

An Improved Reeds–Shepp and Distributed Auction Algorithm for Task Allocation in Multi-AUV System with Both Specific Positional and Directional Requirements

Li,

Zhu,

Chen

et al. 2024

JMSE

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Task assignment is of paramount importance in multi-AUV systems, particularly in applications such as bridge inspection where task execution is direction-specific. In such scenarios, the underactuation of AUVs is a critical factor that cannot be ignored. Therefore, it is essential to consider the AUV’s kinematic model comprehensively to ensure minimal energy consumption during task execution. In this paper, we introduce an improved Reeds–Shepp algorithm in conjunction with a distributed auction approach. We treat AUVs as car-like models in our approach, paying meticulous attention to their operational characteristics during path planning. Importantly, we effectively utilize their backward driving capabilities. Our analysis reveals that this model successfully fulfills the directional requirements of detection tasks. Furthermore, the distributed auction approach optimizes the overall task distribution in the multi-AUV system. We support our method with simulation results that underscore its effectiveness.

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Dynamic spectrum management for heterogeneous UAV networks with navigation data assistance

Zhang

2015

2015 IEEE Wireless Communications and Networking Conference (WCNC)

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Recently, unmanned aerial vehicle (UAV) cooperation networks have attached much attention due to their successful applications in complex military and civilian missions. In this paper, we propose a navigation data-assisted optimal opportunistic spectrum access scheme for wireless communications in heterogeneous UAV networks, to achieve maximized data rate by flexibly scheduling the spectrum subbands. The system architecture is introduced, and thanks to the navigation data that is always available locally at the entities in the network, prediction of wireless link quality and routing information can be obtained to assist subband allocations. Furthermore, the spectrum allocation process is formulated as an optimization problem. Simulation results are also presented to demonstrate the significant performance improvement of the proposed scheme compared to the existing one.

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Distributed coordinated task allocation for heterogeneous UAVs based on capacities

Cited by 4 publications

References 7 publications

Energy Efficient Task Cooperation for Multi-UAV Networks: A Coalition Formation Game Approach

Energy Efficient Task Cooperation for Multi-UAV Networks: A Coalition Formation Game Approach

An Improved Reeds–Shepp and Distributed Auction Algorithm for Task Allocation in Multi-AUV System with Both Specific Positional and Directional Requirements

Dynamic spectrum management for heterogeneous UAV networks with navigation data assistance

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