一种有效的基于运动的分层移动IPv6 vanet切换预测方案

IF 0.6 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Noura Aljeri, A. Boukerche
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引用次数: 11

摘要

车载网络中的无线移动通信对于向驾驶员提供道路安全和信息娱乐服务的内容传输至关重要。然而,车辆的高移动性和拓扑结构的变化影响了基于vanet的传统移动性管理协议的性能。因此,需要一种有效的机动性管理解决方案,以减轻车辆机动性的挑战。本文提出了一种车载网络移动IP预测分层切换协议。我们将隐马尔可夫模型的随机概率分析与车辆的运动投影相结合来预测下一次交接。我们使用网络模拟器NS-2和各种移动跟踪来评估我们的协议对不同移动切换协议的性能。此外,我们评估了不同类型的观测对预测模型的影响。我们的研究结果表明,我们的预测模块在减少切换延迟和丢包方面优于所有其他切换协议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Efficient Movement-Based Handover Prediction Scheme for Hierarchical Mobile IPv6 in VANETs
Wireless mobile communication in vehicular networks is essential for the content delivery of road safety and infotainment services to drivers. However, the vehicles' high mobility and topology changes affect the performance of traditional mobility management protocols over VANETs. Therefore, an efficient mobility management solution that mitigates the challenges of vehicles' mobility is needed. In this paper, we present a predictive hierarchical handover protocol for mobile IP in vehicular networks. We combine the stochastic probability analysis of a hidden Markov model, and the vehicles' movement projection to predict the next handoff. We evaluate the performance of our protocol against different mobile handover protocols using the network simulator NS-2, and various mobility traces. Furthermore, we assess the impact of the different type of observations on the prediction model. Our results showed that our predictive module outperforms all other handover protocols in reducing the handover latency and packet loss.
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来源期刊
Ad Hoc & Sensor Wireless Networks
Ad Hoc & Sensor Wireless Networks 工程技术-电信学
CiteScore
2.00
自引率
44.40%
发文量
0
审稿时长
8 months
期刊介绍: Ad Hoc & Sensor Wireless Networks seeks to provide an opportunity for researchers from computer science, engineering and mathematical backgrounds to disseminate and exchange knowledge in the rapidly emerging field of ad hoc and sensor wireless networks. It will comprehensively cover physical, data-link, network and transport layers, as well as application, security, simulation and power management issues in sensor, local area, satellite, vehicular, personal, and mobile ad hoc networks.
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