| An aggregate flow based scheduler in multi-task cooperated UAVs network |
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| 作者姓名： | Xiaohuan LI Ziqi XIE Jin YE Xin TANG Chunhai LI Fengzhu TANG Rong YU |
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| 作者单位： | 1. School of Information and Communication, Guilin University of Electronic Technology;2. National Engineering Laboratory for Comprehensive Transportation Big Data Application Technology Guangxi;3. Guangxi Key Laboratory of Multimedia Communications and Network Technology, School of Computer, Electronics and Information, Guangxi University;4. School of Automation, Guangdong University of Technology |
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| 基金项目： | co-supported by the National Natural Science Foundation of China (Nos. 61762030 and 61971148)；;the Guangxi Natural Science Foundation, China (Nos. 2019GXNSFFA245007,2018GXNSFDA281013 and 2016GXNSFGA380002)；;Key Science and Technology Project of Guangxi, China (Nos. AA18242021, ZY19183005, 2017AB13014,2018JJA70209,AA19110044 and AA19110046)； |
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| 摘 要： | Unmanned Aerial Vehicles(UAVs) cooperative multi-task system has become the research focus in recent years. However, the existing network frameworks of UAVs are not flexible and efficient enough to deal with the complex multi-task scheduling, because they are not able to perceive the different features. In this paper, a novel cooperated UAVs network framework for multi-task scheduling is proposed. It is a three-layer network including a core layer, an aggregation layer and an execution layer, wh...
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| 收稿时间： | 30 September 2019 |
An aggregate flow based scheduler in multi-task cooperated UAVs network |
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| Xiaohuan LI,Ziqi XIE,Jin YE,Xin TANG,Chunhai LI,Fengzhu TANG,Rong YU.An aggregate flow based scheduler in multi-task cooperated UAVs network[J].Chinese Journal of Aeronautics,2020,33(11):2989-2998. |
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| Institution: | 1. School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China;2. Guangxi Key Laboratory of Multimedia Communications and Network Technology, School of Computer, Electronics and Information, Guangxi University, Nanning 530004, China;3. National Engineering Laboratory for Comprehensive Transportation Big Data Application Technology (Guangxi), Nanning 530001, China;4. School of Automation, Guangdong University of Technology, Guangzhou 510006, China |
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| Abstract: | Unmanned Aerial Vehicles (UAVs) cooperative multi-task system has become the research focus in recent years. However, the existing network frameworks of UAVs are not flexible and efficient enough to deal with the complex multi-task scheduling, because they are not able to perceive the different features. In this paper, a novel cooperated UAVs network framework for multi-task scheduling is proposed. It is a three-layer network including a core layer, an aggregation layer and an execution layer, which enhances the efficiency of multi-task distribution, aggregation and transmission. Furthermore, an AggreGate Flow (AGFlow) based scheduler is dedicatedly designed to maximize the task completion rate, whose key point is to aggregate flows belonging to one task during the multi-task transmission of UAVs network and to allocate priority by calculating the urgency-level of each AGFlow. Simulation results demonstrate that, compared with that of state-of-the-art scheduler, the average task completion rate of AGFlow based scheduler is raised by 0.278. |
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| Keywords: | Mixed-flow scheduling Multi-task Task completion rate Unmanned Aerial Vehicles (UAVs) Urgency-level |
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