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计算机工程 ›› 2012, Vol. 38 ›› Issue (2): 215-217. doi: 10.3969/j.issn.1000-3428.2012.02.071

• 人工智能及识别技术 • 上一篇    下一篇

车辆网络单跳链路断开时间预测算法

李楚斐 1a,谭长庚 1b,韩 宇 2   

  1. (1. 中南大学 a. 信息科学与工程学院;b. 软件学院,长沙 410083;2. 湖南师范大学数学与计算机科学学院,长沙 410081)
  • 收稿日期:2011-07-07 出版日期:2012-01-20 发布日期:2012-01-20
  • 作者简介:李楚斐(1987-),男,硕士研究生,主研方向:无线移动自组网;谭长庚,副教授;韩 宇,硕士研究生
  • 基金资助:

    国家自然科学基金资助项目(60873265, 60903222)

Prediction Algorithm of Single Hop Link Break-time in Vehicular Network

LI Chu-fei 1a, TAN Chang-geng 1b, HAN Yu 2   

  1. (1a. School of Information Science and Engineering; 1b. School of Software, Central South University, Changsha 410083, China; 2. School of Mathematics and Computer Science, Hunan Normal University, Changsha 410081, China)
  • Received:2011-07-07 Online:2012-01-20 Published:2012-01-20

摘要: 将修复性路由协议与车辆网络环境相结合,提出一种利用折点时间计算链路断开时间的预测算法。建立从当前速度匀减速到零和匀加速到最大速度运动的2种加速模型,在3个时间区间内讨论2辆车的运动情况,通过经验预测因子和环境预测因子改进加权预测算法。实验结果表明,该算法可使预测准确率提高12.8%。

关键词: 车辆网络, 经验预测, 环境预测, 链路断开时间

Abstract: Combining the repair link routing protocol and vehicular network, this paper proposes a new algorithm to predict the link break-time by turning time. It creates two accelerate model. One is accelerates velocity from current speed to the max speed, and the other is in the opposite. It discusses the movement of vehicle in 3 time zones to design the moving predict algorithm. It adds empirical prediction factor and enviroment prediction factor to improve the weighted prediction algorithm. Experimental results show that the algorithm can improve the predictive accuracy rate to 12.8%.

Key words: vehicular network, empirical prediction, environment prediction, link break-time

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