杨明极, 吴烨, 范华峰. 基于运动趋势预测的异构车联网垂直切换算法[J]. 微电子学与计算机, 2018, 35(4): 119-123, 129.
引用本文: 杨明极, 吴烨, 范华峰. 基于运动趋势预测的异构车联网垂直切换算法[J]. 微电子学与计算机, 2018, 35(4): 119-123, 129.
YANG Ming-ji, WU Ye, FAN Hua-feng. Vertical Handoff Algorithm for Heterogeneous Internet of Vehicles Based on Motion Trend Prediction[J]. Microelectronics & Computer, 2018, 35(4): 119-123, 129.
Citation: YANG Ming-ji, WU Ye, FAN Hua-feng. Vertical Handoff Algorithm for Heterogeneous Internet of Vehicles Based on Motion Trend Prediction[J]. Microelectronics & Computer, 2018, 35(4): 119-123, 129.

基于运动趋势预测的异构车联网垂直切换算法

Vertical Handoff Algorithm for Heterogeneous Internet of Vehicles Based on Motion Trend Prediction

  • 摘要: 提出了基于运动趋势预测的垂直切换算法.在由LTE、WiMAX构成的异构车联网环境下, 首先通过对车辆运动趋势的预测计算出其在当前基站覆盖范围下的持续时间, 按照该时间把车辆节点划分为狭移动节点和广移动节点.对于狭移动节点利用基于负载均衡的网络选择方法进行切换判定, 而对于广移动节点利用基于模糊层次分析法的多属性垂直切换算法进行切换判决.仿真结果表明, 在不同车辆数量与不同车辆速度两种仿真场景中, 此算法能够减少切换次数, 降低切换失败率, 改善切换时延, 提高系统的吞吐量.

     

    Abstract: In the heterogeneous IoV environment composed of LTE and WiMAX, the duration of the current base station coverage is calculated by predicting the movement trend of the vehicle. According to the time, the vehicle node is divided into narrow mobile node and wide mobile node. For narrow mobile nodes, the network selection method based on load balancing is adopted to decide the handoff. For the mobile nodes, handoff decisions are carried out by using the multiple attribute vertical handoff algorithm based on Fuzzy Analytic Hierarchy Process (AHP). The simulation results show that the algorithm can reduce the number of handover, reduce the switching failure rate, improve the switching delay and improve the throughput

     

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