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Intelligent Technique for Seamless Vertical Handover in Vehicular Networks

机译:车载网络中无缝垂直切换的智能技术

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摘要

Seamless mobility is a challenging issue in the area of research of vehicular networks that are supportive of various applications dealing with the intelligent transportation system (ITS). The conventional mobility management plans for the Internet and the mobile ad hoc network (MANET) is unable to address the needs of the vehicular network and there is severe performance degradation because of the vehicular networks' unique characters such as high mobility. Thus, vehicular networks require seamless mobility designs that especially developed for them. This research provides an intelligent algorithm in providing seamless mobility using the media independent handover, MIH (IEEE 802.21), over heterogeneous networks with different access technologies such as Worldwide Interoperability for Microwave Access (WiMAX), Wireless Fidelity (Wi-Fi), as well as the Universal Mobile Telecommunications System (UMTS) for improving the quality of service (QoS) of the mobile services in the vehicular networks. The proposed algorithm is a hybrid model which merges the biogeography-based optimization or BBO with the Markov chain. The findings of this research show that our method within the given scenario can meet the requirements of the application as well as the preferences of the users.
机译:在支持对付智能运输系统(ITS)的各种应用的车辆网络领域,无缝移动性是一个具有挑战性的问题。互联网和移动自组织网络(MANET)的常规移动性管理计划无法满足车载网络的需求,并且由于车载网络的独特特性(例如高移动性)而导致性能严重下降。因此,车载网络需要专门针对其开发的无缝移动性设计。这项研究提供了一种智能算法,可通过与媒体无关的切换MIH(IEEE 802.21)在具有不同接入技术的异构网络上提供无缝移动性,例如全球微波接入互通性(WiMAX),无线保真度(Wi-Fi)作为通用移动电信系统(UMTS),用于改善车载网络中移动服务的服务质量(QoS)。提出的算法是一种混合模型,将基于生物地理的优化或BBO与马尔可夫链合并。这项研究的结果表明,在给定场景下我们的方法可以满足应用程序的需求以及用户的喜好。

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