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首页> 外文期刊>Procedia Computer Science >Evaluation of a Compound Node Selection Function for a Greedy Routing in Urban Vehicular Ad Hoc Networks
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Evaluation of a Compound Node Selection Function for a Greedy Routing in Urban Vehicular Ad Hoc Networks

机译:城市车辆自组织网络中贪婪路由的复合节点选择功能评估

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The greedy routing that reduces the Euclidean distance to destination continuously to the possible maximum in every forwarding is suitable for vehicular ad hoc networks with high node mobility due to operation simplicity and low overhead. However, the selection of a next forwarding node based on the forward progress distance alone suffers from varying link conditions by high node mobility and communication obstructions. Thus, a compound node selection function is developed to include link quality factor. In this function, the accuracy of the forward progress distance largely depends on the node location error that comes from either GPS measurement error or the elapse of time after measurement. Location prediction is conducted by the Kalman filter and link quality is assessed using the successfully transmitted Hello messages. The compound function is evaluated against variations of fading and shadowing effects and the injected GPS error and is applied to a greedy routing protocol to prove its superiority.
机译:由于操作简单且开销低,在每次转发中将到目的地的欧几里得距离连续减小到可能的最大值的贪婪路由适用于节点移动性高的车载自组网。然而,仅基于前向前进距离的下一个转发节点的选择就受到高节点移动性和通信障碍的变化链路条件的影响。因此,开发了复合节点选择功能以包括链路质量因子。在此功能中,前进距离的精度在很大程度上取决于来自GPS测量误差或测量后经过的时间的节点位置误差。位置预测由卡尔曼滤波器进行,并使用成功传输的Hello消息评估链路质量。针对衰落和阴影效应的变化以及注入的GPS误差对复合函数进行了评估,并将其应用于贪婪路由协议以证明其优越性。

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