摘要
针对地外驻留平台网络中设备昂贵、对链路可靠性要求极高等特点,将影响网络性能的可靠性和效用代价这2个基本要素视作多目标优化问题进行分析,建立了网络可靠性与效用代价模型,形式化描述了2个优化目标之间的联系。在此基础上,运用合作博弈中的纳什议价模型对可靠性与效用代价进行公平性折中,并通过Matlab结合CVX计算得到可靠性与效用代价同时最优的纳什议价解集。进一步动态调整威胁值并重复博弈,即可得到同时保证可靠性与效用代价的公平性的帕累托最优目标值。最后,通过对一个典型地外驻留平台网络拓扑链路进行纳什议价求解,阐述了在网络业务量与链路容量值已知时,如何对链路数和链路容量进行设置以降低效用代价。这对于地外驻留平台网络的优化部署有重要意义。
Focusing on the deep space habitat network requirements of high reliability and expensive links,two impact factors to the network performance were regarded as a multi-objective optimization problem,which were network reliability and cost efficiency model,and the relations between the two factors were formalized.Thereafter,the Nash model of cooperative game was used to make a fairness compromise to the network reliability and cost efficiency,and the Nash bargaining solution set was acquired through the Matlab platform with CVX.Further,through changing the threat value dynamically and performing the repeated game,the Pareto optimal solution could be obtained which can ensure the fairness of reliability and cost efficiency simultaneously.Finally,the Nash bargaining method was applied to a typical deep space habitat network topology,and described in detail how to set up the link numbers and link capacity in order to reduce the cost when the network traffic and the link capacity were given.The proposed work is important for the deployment and optimization of the deep space habitat network.
出处
《通信学报》
EI
CSCD
北大核心
2017年第2期10-15,共6页
Journal on Communications
基金
国家自然科学重点基金资助项目(No.91438117
No.91538202)~~
关键词
地外驻留平台
纳什议价
帕累托最优
可靠性
效用代价
deep space habitat
Nash bargaining
Pareto optimality
reliability
cost efficiency
