Predictive Mobile IP Handover for Vehicular Networks

被引:0
|
作者
Magnano, Alexander [1 ]
Fei, Xin [1 ]
Boukerche, Azzedine [1 ]
机构
[1] Univ Ottawa, PARADISE Res Lab, Ottawa, ON K1N 6N5, Canada
来源
40TH ANNUAL IEEE CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN 2015) | 2015年
关键词
wireless; mobile IP; prediction algorithm; handover; mobility management; hidden Markov model; Kalman filter; vehicular network;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Vehicular networks are a rapidly growing technology with vehicle manufacturers already taking steps for its implementation. However, adding IP services to vehicular networks remains an issue. This is in part due to the mobile IP handover causing overhead and latencies unsuitable for the faster movement of vehicles. Frequent topological changes caused by this movement require smooth IP handovers due to the regularity in which they occur. In this paper, we propose a predictive handover utilizing a movement prediction method to conduct the costly handover ahead of time, thus providing a consistent IP connection. The approach is tested and compared in a variety of simulated vehicle network environments. Results show an overall improvement in network performance with handover latency greatly reduced.
引用
收藏
页码:338 / 346
页数:9
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