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1.西安建筑科技大学信息与控制工程学院,陕西 西安 710055
2.南京邮电大学通信与信息工程学院,江苏 南京 210003
3.西安电子科技大学通信工程学院,陕西 西安 710071
[ "刘润滋(1988‒ ),女,博士,西安建筑科技大学信息与控制工程学院副教授,主要研究方向为无线网络、空间网络中的资源管理和性能分析。" ]
[ "丁旭(1996‒ ),女,西安建筑科技大学信息与控制工程学院硕士生,主要研究方向为空间信息网络组网技术。" ]
[ "王燕妮(1975‒ ),女,博士,西安建筑科技大学信息与控制工程学院教授,主要研究方向为信号检测与识别、数字图像处理。" ]
[ "夏文超(1991‒ ),男,博士,南京邮电大学通信与信息工程学院副教授,主要研究方向为边缘智能无线通信、通感一体化、大规模MIMO等。" ]
[ "慕桃(2000‒ ),女,西安建筑科技大学信息与控制工程学院硕士生,主要研究方向为空间信息网络组网技术。" ]
[ "杨清海(1976‒ ),男,博士,西安电子科技大学通信工程学院教授,主要研究方向为自主通信、内容交付网络和LTE-A技术等。" ]
纸质出版日期:2024-06-10,
收稿日期:2023-06-09,
修回日期:2024-06-15,
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刘润滋,丁旭,王燕妮等.面向区域目标观测的多星自主协同任务规划方法[J].物联网学报,2024,08(02):81-90.
LIU Runzi,DING Xu,WANG Yanni,et al.Onboard coordinated task planning for multi-satellite autonomous to observe area target[J].Chinese Journal on Internet of Things,2024,08(02):81-90.
刘润滋,丁旭,王燕妮等.面向区域目标观测的多星自主协同任务规划方法[J].物联网学报,2024,08(02):81-90. DOI: 10.11959/j.issn.2096-3750.2024.00373.
LIU Runzi,DING Xu,WANG Yanni,et al.Onboard coordinated task planning for multi-satellite autonomous to observe area target[J].Chinese Journal on Internet of Things,2024,08(02):81-90. DOI: 10.11959/j.issn.2096-3750.2024.00373.
针对现有多星自主任务规划方法面对区域目标观测任务时缺乏整体性,从而造成大量观测资源的浪费问题,提出了一种面向区域目标观测的多星自主协同任务规划方法。首先,建立面向区域目标的多星协同观测任务规划模型,并设计基于合同网的多星自主协同规划框架。其次,根据该协同框架设计基于动态定价的招标机制、投标机制和评标机制,从而实现区域目标任务的多星自主协同规划。最后,仿真实验证明,与传统基于单轮招标合同网以及基于固定标价合同网的多星协同规划方法相比,所提方法的任务收益分别提升了60.40%与29.07%。
The existing multi-satellite autonomous task planning methods lack of considering the integrity of area targets observation
resulting in the waste of a large number of observation resources. To solve this problem
an onboard coordinated task planning for multi-autonomous satellite to observe area targets was proposed. Firstly
a multi-satellite coordinated observation task planning model for area targets was established
and a multi-satellite autonomous coordinated planning framework based on contract network. Subsequently
based on this coordinated framework
the dynamic pricing-based bidding
tendering
and bid evaluation mechanisms were designed to realize the multi-satellite autonomous coordinated planning for the tasks of observing area targets. Finally
the simulation results show that
compared to the traditional multi-satellite coordinated planning method based on single-round bidding contract network and fixed price bidding contract network
the task revenue of the proposed method is increased by 60.40% and 29.07%
respectively.
区域目标任务多星自主协同合同网协议任务规划
area target taskmulti-satellite autonomous coordinationcontract network protocoltask planning
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