计算机科学 ›› 2015, Vol. 42 ›› Issue (3): 35-38.doi: 10.11896/j.issn.1002-137X.2015.03.007

• 网络与通信 • 上一篇    下一篇

基于移动预测的航空GPSR-TAMP路由协议

张伟龙,吕 娜,贾航川,李 腾   

  1. 空军工程大学信息与导航学院 西安710077,空军工程大学信息与导航学院 西安710077,空军工程大学信息与导航学院 西安710077,空军工程大学信息与导航学院 西安710077
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家自然科学基金(61302153),陕西省自然科学基金(2010JM8008)资助

Routing Prediction Algorithm for Aeronautical GPSR-TAMP

ZHANG Wei-long, LV Na JIA, Hang-chuan and LI Teng   

  • Online:2018-11-14 Published:2018-11-14

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GPSR-TA。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。

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

Abstract: 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.

Key words: CSM,Routing prediction,GPSR,Civil aviation,AANET,Kalman filtering

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