基于AHP的分布式星群接入策略研究

J4 ›› 2014, Vol. 36 ›› Issue (05): 879-883.

基于AHP的分布式星群接入策略研究

潘成胜，陈志强，邱少明，隋磊

（1.大连大学信息工程学院，辽宁大连 116622；2.通信网络与信息处理重点实验室，辽宁大连 116622）

收稿日期:2013-01-14 修回日期:2013-04-10 出版日期:2014-05-25 发布日期:2014-05-25
基金资助:
国家863计划资助项目（2011AAXX06）；辽宁省教育厅重点实验室项目（LS2010007）;辽宁省教育厅创新团队（LT2009004,LT2010007）

Study for AHP-based access strategy
in distributed constellation network

PAN Chengsheng，CHEN Zhiqiang，QIU Shaoming，SUI Lei

（1.School of Information Engineering,Dalian University,Dalian 116622;
2.Key Laboratory of Communication Networks and Information Processing,Dalian 116622,China）

Received:2013-01-14 Revised:2013-04-10 Online:2014-05-25 Published:2014-05-25

摘要/Abstract

摘要：

分布式星群网络是打赢未来信息化战争的有利武器，星群的接入技术对于提升我国空天信息获取能力具有重要意义。针对分布式星群网络高动态拓扑导致资源利用不充分的问题，提出了一种基于层次分析法的分布式星群网络接入策略。该接入策略首先是利用层次分析法动态计算资源利用率各指标权重；其次是根据各卫星节点的实时资源情况，动态调整资源利用率的权重。仿真表明，该接入策略降低了分布式星群网络的新呼叫阻塞率和强制中断率，有效地解决了星群网络资源利用率问题，提高了星群网络群内业务分配的合理性。

关键词: 分布式星群网络, 层次分析法, 卫星资源利用率, 接入策略

Abstract:

The distributed constellation network is a powerful weapon to win the future information warfare. The access strategy is of great significance in distributed constellation network for promoting the ability to obtain aerospace information. An access strategy based on the Analytic Hierarchy Process (AHP) is proposed for the characteristics of the distributed constellation network,such as high dynamic topology and easily load utilization of satellite resources imbalances.Firstly,the weights of various indicators for the resource utilization rate are dynamically calculated using the analytic hierarchy process. Secondly,the resource utilization rate is dynamically adjusted according to the real time resources status of each satellite node.The simulation results demonstrate that the new call blocking rate and the forced discontinuity rate can be reduced by using the proposed strategy,thus solving the load balancing problem effectively and improving the allocation rationality of the group business in the distributed constellation network.

Key words: distributed constellation network;analytic hierarchy process;utilization of satellite resources;access strategy

潘成胜，陈志强，邱少明，隋磊. 基于AHP的分布式星群接入策略研究[J]. J4, 2014, 36(05): 879-883.

PAN Chengsheng，CHEN Zhiqiang，QIU Shaoming，SUI Lei. Study for AHP-based access strategy
in distributed constellation network [J]. J4, 2014, 36(05): 879-883.

参考文献

［1］Lin Laixing. Distributed space systems concepts and applications ［J］. Space International, 2012(5):3438. (in Chinese)
［2］Widjaja I, Boseh P, Roche H L. Comparison of MME signaling loads for longtermevolution architectures ［C］∥Proc of the 2009 IEEE 70th Vehicular Technology Conference Fall, 2009:15.
［3］Huang Fei, Xu Hui, Zhou Heng, et al. QoS based average weighted scheme for LEO satellite communications［J］. Journal of Electronics & Information Technology, 2008, 30(10):24112414. (in Chinese)
［4］Kaslow D. Planning and scheduling of earth observing satellites［C］∥Proc of 2007 IEEE Aerospace Conference, 2007:112.
［5］Whitefield D, Gopal R. Capacity enhancement with dynamic resource management for next generation satellite systems［C］∥IEEE MILCOM’05, 2005:761767.
［6］Tan Qun, Peng Li, Li Zhimeng, et al. A load balancing method for matching reconnaissance tasks and satellite resources［J］. Journal of National University of Defense Technology, 2011, 33(2):9599. (in Chinese)
［7］Feng Shaodong,Bian Dongming,Zhang Gengxin,et al.Broadband multimedia satellite communication system QoS framework:Design, simulation and verification［J］. Computer Science, 2010, 37(6):6064. (in Chinese)
［8］Saaty T L.The analytic hierarchy process［M］.New York:Mc Craw Hill, 1980.
［9］Raharjo H, Xie Min, Brombacher A. On modeling dynamic priorities in the analytic hierarchy process using compositional data analysis［J］. European Journal of Operational Research, 2009, 194(3):834846.
［10］Zhang Tao, Liu Zhongkan, Zhang Jun. A shortest path algorithm for satellite time varying topological network［J］. Chinese Journal of Computers, 2006, 29(3):371377. (in Chinese)
［11］Shen Jianping,Yu Hongfang,Zhang Xiaoning,et al.OPNET based low earth orbit satellite network simulation platform［J］. Computer Engineering, 2009, 35(18):237239. (in Chinese)附中文参考文献：
［1］林来兴. 分布式空间系统概念和应用［J］. 国际太空, 2012(5)：3438.
［3］黄飞，许辉，周恒，等. LEO卫星通信中基于服务质量的综合加权接入策略［J］. 电子与信息学报,2008,30(10):24112414.
［6］谈群，彭黎，李志猛，等. 一种航天侦察任务资源匹配的负载均衡方法［J］. 国防科技大学学报, 2011, 33(2):9599.
［7］冯少栋，边东明，张更新，等. 宽带多媒体卫星通信系统QoS架构设计与仿真验证［J］. 计算机科学, 2010,37(6):6064.
［10］张涛，柳重堪，张军. 卫星时变拓扑网络最短路径算法研究［J］. 计算机学报, 2006,29(3):371377.
［11］申建平，虞红芳，章小宁，等. 基于OPNET的低轨卫星网络仿真平台［J］. 计算机工程, 2009,35(18):237239.

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