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首页> 外文期刊>International Journal of Engineering Science and Technology >DESIGN AND SIMULATION OF VERTICAL HANDOVER ALGORITHM FOR VEHICULAR COMMUNICATION
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DESIGN AND SIMULATION OF VERTICAL HANDOVER ALGORITHM FOR VEHICULAR COMMUNICATION

机译:车辆通信垂直切换算法的设计与仿真

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摘要

The primary objective in this work is to design and simulate a novel handover algorithm in heterogeneous radio network for intelligent transportation system (ITS). Analytic hierarchy process (AHP) is used to solve decision problem in multiple constraint environment. The user preferences are taken into consideration in this algorithm. A case study is illustrated to demonstrate the effectiveness of this model. Several network contexts like received signal strength (RSS), initial delay for connection establishment, network traffic load and bandwidth offered, service context like usage cost, user contexts like type of application and terminal context like speed of the vehicle are considered as different attributes of this algorithm. RSS is considered as the triggering factor, i.e, a network will be considered as an alternative only if its RSS is above threshold. The proposed method decides the priority of radio access network that is most suitable for users application at a particular vehicular speed in the constraint resource environment. Sensitivity analysis is done to justify the design of the algorithm. This algorithm is specific to vehicular communication system and hence variation in network selection with vehicle speed is presented. The results show that the presented model not only realistically optimizes the best available network on the move but also avoids unnecessary handovers. Simulation work has been carried out in the MATLAB environment.
机译:这项工作的主要目的是设计和仿真一种用于智能交通系统(ITS)的异构无线电网络中的新型切换算法。层次分析法(AHP)用于解决多约束环境下的决策问题。该算法考虑了用户的偏好。案例研究表明了该模型的有效性。多个网络环境(如接收信号强度(RSS),建立连接的初始延迟,网络流量负载和提供的带宽,服务环境(如使用成本),用户环境(如应用程序类型)和终端环境(如车辆速度))被认为是此算法。 RSS被视为触发因素,即,仅当其RSS高于阈值时,网络才被视为备用。所提出的方法决定了在受限资源环境中以特定车辆速度最适合用户应用的无线接入网络的优先级。进行敏感性分析以证明算法的设计合理。该算法专用于车辆通信系统,因此提出了网络选择随车速的变化。结果表明,所提出的模型不仅可以现实地优化移动中的最佳可用网络,而且还可以避免不必要的切换。仿真工作已在MATLAB环境中进行。

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