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首页> 外文期刊>Journal of Sensors >Spectrum-Aware Geographic Routing in Cognitive Vehicular Ad Hoc Network Using a Kalman Filter
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Spectrum-Aware Geographic Routing in Cognitive Vehicular Ad Hoc Network Using a Kalman Filter

机译:卡尔曼滤波器的认知车载自组织网络中的频谱感知地理路由

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摘要

We propose a position-based routing protocol for cognitive radio vehicular ad hoc networks (CR-VANETs) using a Kalman filter algorithm. The protocol first selects an idle channel from among all the channels available to a vehicle while moving on a straight road and then finds the best relay node to deliver the packet to the destination. The selection of a relay node is done by dividing the vehicular transmission range into five regions, and then the source/relay node selects the one that is in the region having a higher preference than other regions. Communication between two vehicles occurs only when both the vehicles are on the same channel. Delay may increase while sensing the channel and selecting the relay node. To reduce the delay, we use a Kalman filter to predict the future positions of all moving vehicles in the network. We consider vehicle-to-vehicle communication and compare our protocol for different probabilities of primary user being idle. Our proposed protocol shows improvement in both packet delivery ratio and end-to-end delay.
机译:我们提出了一种基于卡尔曼滤波算法的认知无线电车辆自组织网络(CR-VANETs)的基于位置的路由协议。该协议首先在直路上行驶时从车辆可用的所有信道中选择一个空闲信道,然后找到最佳的中继节点以将数据包传递到目的地。通过将车辆传输范围划分为五个区域来完成中继节点的选择,然后源/中继节点选择优先级高于其他区域的区域中的一个。仅当两个车辆都在同一通道上时,才会发生两个车辆之间的通信。在感测信道并选择中继节点时,延迟可能会增加。为了减少延迟,我们使用卡尔曼滤波器来预测网络中所有行驶中的车辆的未来位置。我们考虑了车辆之间的通信,并针对主要用户空闲的不同概率比较了我们的协议。我们提出的协议显示出数据包传递率和端到端延迟方面的改进。

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