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基于移动预测的航空GPSR-TAMP路由协议 被引量:1

Routing Prediction Algorithm for Aeronautical GPSR-TAMP
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摘要 在CSM自适应滤波算法的基础上提出了一种适合民用航空环境的改进滤波算法MFACS,并基于此提出了航空节点的移动(位置)预测算法。鉴于GPSR协议周期性信标交换算法存在的不足,结合两跳自适应信标交换算法和对应的直接、间接邻居表维护机制,按照是否使用移动预测算法,提出了改进的路由协议GPSR-TAMP和GPSRTA。NS2的仿真结果表明,使用移动预测算法的GPSR-TAMP比仅使用两跳自适应信标交换算法的GPSR-TA协议更适合高动态的民用航空环境。 Considering FACS algorithm can solve the problem that ACSM is not capable of describing weak strength maneuvering,an advanced adaptive filtering algorithm MFACS was introduced and on this basis a mobility prediction algorithm was raised,which was used in HELLO mechanism of GPSR creatively.Combining with a two hops adaptive beacon and relevant neighbor maintaining mechanism,according to whether adopt mobility prediction,two modified routing protocol GPSR-TAMP and GPSR-TA based on GPSR were derived to modify periodical beacon.NS2 simulation result demonstrates that with a better neighbor discovery mechanism,GPSR-TAMP outperforms GPSR-TA.
出处 《计算机科学》 CSCD 北大核心 2015年第3期35-38,50,共5页 Computer Science
基金 国家自然科学基金(61302153) 陕西省自然科学基金(2010JM8008)资助
关键词 当前统计模型 路由预测 GPSR 民航 航空自组网 卡尔曼滤波 CSM Routing prediction GPSR Civil aviation AANET Kalman filtering
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  • 1张衡阳,李莹莹,刘云辉,王铃.移动无线传感器网络中基于过渡带思想的贪婪转发策略[J].传感技术学报,2007,20(12):2663-2667. 被引量:7
  • 2巴宏欣,赵宗贵,杨飞,董强,张涛.机动目标的模糊自适应跟踪算法[J].系统仿真学报,2004,16(6):1181-1183. 被引量:30
  • 3刁联旺,杨静宇.一种改进的机动目标“当前”统计模型的描述[J].兵工学报,2005,26(6):825-828. 被引量:23
  • 4熊金志,王斌,肖捷,黄仁泰.用自适应扩展卡尔曼滤波跟踪水下目标的算法研究[J].科学技术与工程,2007,7(15):3710-3714. 被引量:2
  • 5Hu Congwei, Chen Wu. Adaptive Kalman filtering for vehicle navigation[J ]. Journal of Global Positiioning System, 2003, 2 (1): 227-233.
  • 6Al-Dhaher A G H, Mackesy D. Multi-sensor data fusion architecture[C]//The 3rd IEEE International Workshop on Haptic, Au dio and Visual Environments and Their Applications. US: IEEE 2004:159 - 163.
  • 7Abdolreza D T, Nasser S. Novel adaptive Kalman filtering and fuzzy track fusion approach for real time application [ C ]//3rd IEEE Conference on Industrial Electronics and Applications, US: IEEE, 2008:120- 125.
  • 8Rong Li X, Zhi Xiaorong, Zhang Youmin. Mutiple-model estimation with variable structure part Ⅲ: model-group switching algorithm[M]. IEEE Transaction on Aerospace and Electronic Systems, 2003, 35(1): 225-241.
  • 9Kalman R E. A new approach to linear filtering and prediction problems. Transaction of the ASME-Journal of Basic Engineering, 1960:35-45.
  • 10Zaknich A. Principles of adaptive filters and self-learning systems. Springer, 2005.

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