基于Stackelberg博弈的遥感数据实时中继传输方案OA北大核心CSTPCD
A real-time relay transmission scheme for remote sensing data based on Stackelberg game
当利用高轨卫星(Geostationary Orbit,GEO)为低轨遥感卫星(Low Earth Orbit,LEO)提供实时中继服务时,GEO中继资源的分配会直接影响数据的传输效率,传输大小相同但级别不同的任务时所得的回报是不同的,这会影响整体的网络收益.为了解决上述问题,利用Stackelberg博弈模型,提出一种基于任务感知的遥感数据实时中继传输方案.首先,为了描述层间的拓扑变化,减少每个时隙中链路中断的次数,利用非均匀时隙划分方法来确定每个时隙下参与中继的LEO的身份和数量;其次,根据遥感数据的时空属性及用户需要,利用命名数据网络(Named Data Networking,NDN)中的命名机制对任务进行命名,可实现网络对内容类别和大小的感知;当多颗LEO向GEO卸载数据时,利用Stackelberg博弈模型,构建基于任务感知的GEO资源分配模型,并提出一种基于优先级的GEO资源分配算法,在每个时隙下都可以根据任务优先级实现GEO速率的最优分配,以实现GEO收益的最大化,并证明了纳什均衡的存在.实验结果证明了提出的方案在定价、GEO资源分配、传输效率及网络收益方面的有效性.
When a high-orbit satellite(Geostationary Orbit,GEO)is used to provide real-time relay service for a low-orbit remote sensing satellite(Low Earth Orbit,LEO),the allocation of GEO relay resources directly affects the data transmission efficiency,and at the same time,the return of transmitting the same size but different level of the task is different,which affects the overall network revenue.To solve the above problems,using the Stackelberg game model,this paper proposes a task-aware real-time relay transmission scheme for remote sensing data.First,to reasonably describe the topological changes between layers and reduce the number of link interruptions in each time slot,we determine the identity and number of LEOs participating in relaying under each time slot using the non-uniform time slot division method;second,according to the spatio-temporal attributes of remote sensing data and user needs,we utilize the naming mechanism in Named Data Networking(NDN)to name the tasks,which can realize the network's perception of the level and size of the content;finally,when multiple LEOs offload data to the GEO,a task-aware GEO resource allocation model is constructed using the Stackelberg game model,and a priority-based GEO resource allocation algorithm is proposed,where the optimal allocation of the GEO rate can be achieved according to the task priority under each time slot to maximize the benefit of the GEO,and the Nash equilibrium is proved to exist.Experimental results confirm the effectiveness of the proposed scheme in terms of pricing,GEO resource allocation,transmission efficiency,and network revenue.
陈静;底晓强
长春理工大学计算机科学技术学院,长春,130022||吉林农业大学信息技术学院,长春,130118长春理工大学计算机科学技术学院,长春,130022
计算机与自动化
遥感数据传输GEO中继Stackelberg博弈任务感知资源分配命名数据网络
remote sensing data transmissionGEO relayStackelberg gametask-awareresource allocationnamed data networks
《南京大学学报(自然科学版)》 2024 (006)
988-997 / 10
国家自然科学基金(U21A20451)
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