An aggregate flow based scheduler in multi-task cooperated UAVs network  

作　　者：Xiaohuan LI Ziqi XIE Jin YE Xin TANG Chunhai LI Fengzhu TANG Rong YU 

机构地区：[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

出　　处：《Chinese Journal of Aeronautics》2020年第11期2989-2998,共10页中国航空学报（英文版）

基　　金：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)。

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,which enhances the efficiency of multi-task distribution,aggregation and transmission.Furthermore,an Aggre Gate 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.

关 键 词：Mixed-flow scheduling MULTI-TASK Task completion rate Unmanned Aerial Vehicles(UAVs) Urgency-level 

分 类 号：V279[航空宇航科学与技术—飞行器设计]