摘要
由于高空平台(HAP)通信系统对飞艇执行任务的时间要求严格,构建以时延为移动因子的限制性空间自适应(RSAP)学习模型。在包含任务层、HAP层和卫星层的3层异构网络环境中,为达到任务层对通信效果的要求,提出一种通过改变时延权重系数调整飞艇对任务层覆盖方式的策略,达到对任务层的无缝覆盖以及降低通信时延的效果。仿真结果表明,该部署模型能实现对任务层较高的覆盖率,有效降低飞艇通信时延,提高服务质量。
The high-altitude airship platform（HAP）communication system has strict requirement on the task execution time,facing withthisfact and choosing time delay as mobile factor,a restricted space adaptive play（RSAP）learning model was constructed.Meanwhile,in a 3-layered heterogeneous network which contained task layer,HAP layer and satellite layer,to meet the requirement that the task layer is strict with the communication efficiency,and a policy was proposed to adjust the airships＇ covering strategy by changing the weighting factor of time delay.The simulation results show that the mentioned model and policy can achieve high coverage rate of the task layer,reduce the airship communication time delay effectively and improve the quality of service.
出处
《计算机工程与设计》
北大核心
2015年第10期2657-2661,共5页
Computer Engineering and Design
基金
国家自然科学基金项目(61262074)
广西可信软件重点实验室开放课题基金项目(kx201101)
广西高校优秀人才资助计划基金项目(桂教人201065)
广西自然科学回国基金项目(2012GXNSFCA053009)
2014广西硕士研究生创新项目基金项目(YCSZ2014145)
关键词
高空飞艇平台
部署模型
游戏理论
时延
权重分配
high-altitude airship platform
deployment model
game theory
time delay
weight distribution
