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

YANG Ming-ji; WU Ye; FAN Hua-feng

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

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- Vertical Handoff Algorithm for Heterogeneous Internet of Vehicles Based on Motion Trend Prediction
- Vol. 35, Issue 4, Pages: 119-123(2018)
- 作者机构：
  
  1. 哈尔滨理工大学机构测控技术与通信工程学院,黑龙江,哈尔滨,150080
  2. 大连船舶重工集团有限公司,辽宁,大连,116000
- 作者简介：
- 基金信息：
- DOI：
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- Published：2018
- 稿件说明：
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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]. 2018, 35(4): 119-123.
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. DOI：

YANG Ming-ji, WU Ye, FAN Hua-feng. Vertical Handoff Algorithm for Heterogeneous Internet of Vehicles Based on Motion Trend Prediction[J]. 2018, 35(4): 119-123. DOI：

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

关键词

Keywords

references

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孔令斌, 王军选, 孙长印. 多网络共存下基于贝叶斯的垂直切换算法[J]. 电讯技术, 2016, 56(2): 122-127. DOI: 122

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KALEEM F, MEHBODNIYA A, ISLAM A, et al. Dynamic target wireless network selection technique using fuzzy linguistic variables[J]. China Communications, 2013, 10(1): 1-16. DOI: 1

马彬, 谢显中, 廖晓峰, 等. 车辆异构网络中预测垂直切换算法[J]. 电子与信息学报, 2015, 37(4): 874-880. DOI: 874

郭强, 张晓萌, 朱若函. 基于粒子群优化的模糊神经网络垂直切换算法[J]. 微电子学与计算机, 2015, 32(8): 12-18. DOI: 12

李永刚, 张治中, 李龙江. 一种WLAN与eHRPD系统间负载均衡算法[J]. 微电子学与计算机, 2017, 34(1): 44-47. DOI: 44

潘甦, 梁宇, 刘胜美, 等. 一种基于移动趋势量化的多属性垂直切换判决算法[J]. 电子与信息学报, 2016, 38(2): 269-275. DOI: 269

陶剑骅, 武向农, 蒋祥鹏. 基于多属性决策的异构网络选择算法比较研究[J]. 电视技术, 2015, 39(17): 79-83. DOI: 79

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