期刊文献+

面向任务能力的自组织网络体系结构 被引量:2

Mission capacity oriented self-organized networks architecture
下载PDF
导出
摘要 深入研究自组织网络体系结构建立的动机,针对现有网络体系结构中缺少对任务需求的耦合,提出面向任务能力的自组织网络体系结构,给出了包括量化任务、任务规划、平台分簇和分级结构4个阶段的设计过程,并针对每个阶段设计给出了数学描述,最后给出了组网的计算方法。通过案例分析,展示了设计过程中的阶段结果和最终组网体系,并使用评估指标对所设计的组网体系进行了分析评估。 After researching the design motivation of self-organized network architecture, the mission capacity oriented self organized networks architecture is proposed for the situation of lack mission coupling in existing architecture. And the methodology is a four-phase process, which includes mission quantitative, task planning, platform clusteringand hierarchy structure. The mathematical description of each phase is presented. Finally, the computing method is given. With the analysis of the ease, the stage results and final network are shown, and the brief analysis and assessment of the proposed network architecture using assessment indicators are also presented.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2013年第5期980-986,共7页 Systems Engineering and Electronics
基金 国家自然科学基金(60879024 61073012)资助课题
关键词 自组织网络 体系结构 任务能力 任务规划 分级结构 self organized network architecture mission capacity task planning hierarchy structure
  • 相关文献

参考文献14

  • 1Xu Y, Wang W Y. Topology stability analysis and its application in hierarchical mobile ad hoc networks[J]. IEEE Trans. on Vehicular Technology, 2009, 58(3) : 1546 - 1560.
  • 2Ryu B, Andersen T, Elbatt T, et al. Multi-tier mobile ad hoc networks: architecture, protocols, and performance[C]//Proc. of the IEEE Military Communications Conference, 2003:1280 - 1285.
  • 3Zeashan H K, Denis G C, Jean M T. Hierarchical wireless net- work architecture for distributed applications[C]//Proc, of the 5th International Conference of Wireless and Mobile Communications, 2009:70 - 75.
  • 4Senni P, Vahid T, John S B, et al. Modeling TDMA-based USAP in JTRS MDL for multieast and unicast traffie[C]//Proc, of the IEEE Military Communications Conference, 2010 : 1924 - 1929.
  • 5Chen L, Heinzelman W. Network architecture to support QoS in mobile ad hoc networks[C]//Proc, of the IEEE International Conference on Multimedia and Expo ,2004 : 1715 - 1718.
  • 6Wang H J, Wang D D, Han J H, et al. A security architecture for tactical mobile ad hoc networks[C]// Proc. of the 2nd International Workshop on Knowledge Discovery and Data Mining, 2009, 312-315.
  • 7DavidSA,JamesM.网络中心战与复杂性理论[M].北京:电子工业出版社,2004.
  • 8Kleinman D L, Young P, Higgins G S. The DDD-III: a tool for empirical research in adaptive organizations[C]//Proc, of the 2nd International Command and Control Research and Technology Symposium, 1996 ..827 - 836.
  • 9Sawyers W A. Marine corps analytic modeling and simulation[C]// Proc. o f the Winter Simulation Conference, 1998: 855- 858.
  • 10Nielsen P E. SOAR/IFOR : intelligent agents for air simulation and control[C]//Proc, of the Simulation Conference Proce edings Winter, 1995 : 620 - 625.

同被引文献21

  • 1DUAN HaiBin 1 ,SHAO Shan 2 ,SU BingWei 3 &ZHANG Lei 41 State Key Laboratory of Science and Technology on Holistic Flight Control,School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics,Beijing 100191,China,2 Flight Control Department,Shenyang Aircraft Design and Research Institute,Shenyang 110035,China,3 Beijing Institute of Near Space Vehicle’s System Engineering,Beijing 100076,China,4Integration and Project Section,Air Force Equipment Academy,Beijing 100085,China.New development thoughts on the bio-inspired intelligence based control for unmanned combat aerial vehicle[J].Science China(Technological Sciences),2010,53(8):2025-2031. 被引量:33
  • 2Ding J, Cheung S Y, Tan CH W, et al. Vehicle detection by sensor network nodes[R]. US: California Partners for Advanced Transit and Highways(PATH ), 2004.
  • 3Sifuentes E, Casas O, Areny R. P. Wirelessmagnetic sensor node for vehicle detection with optical wake-up[J]. IEEESensors Journal, 2011, 11(8): 1669-1679.
  • 4Wang R, Zhang L, Sun R L, et al. EasiTia: A pervasive traffic information acquisition system based on wireless sensor networks [J]. IEEE Transactions on Intelligent Systems, 2011, 12(2): 615-621.
  • 5Wang R, Zhang L, Xiao K J, et al. EasiSee real-time vehicle classification and counting via low-cost collabora- tive sensing[J]. IEEE Transactions on Intelligent Trans- portation Systems, 2014, 15(1): 414-424.
  • 6William P E, Hoffman M W. Classification ofmilitary ground vehicles using time domain harmonics amplitudes [J]. IEEE Transaction on Instrumentation and Measure- ment, 2011, 60(11).. 3720-3731.
  • 7Shen Y, Gao J Q, Hasanyan D, et al. Investigation of vehicle induced magnetic anomaly by triple-axis magneto- electric sensors [J]. Smart Materials and Structures, 2012, 21:1-7.
  • 8Cheung S Y, Coleri S. Traffic measurement and vehicle classification with a single magnetic sensor[C]//84h An- nual Meeting Transportation Research Board. Washing- ton DC:[S. n. ],2005.
  • 9Pylvanainen T. Automatic and adaptive calibration of 3D field sensor[J]. Applied Mathematical Modeling, 2007 (8), 32.. 575-587.
  • 10Vansconcelos J F, Elkaim G, Silvester C, et al. A ge- mometric approach to strapdown magnetometer calibra- tion in sensor {rame[R]. Guidance and Control o{ Un- derwater Vehicles, 2008.

引证文献2

二级引证文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部