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首页> 外文期刊>IEEE Transactions on Intelligent Transportation Systems >ASGR: An Artificial Spider-Web-Based Geographic Routing in Heterogeneous Vehicular Networks
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ASGR: An Artificial Spider-Web-Based Geographic Routing in Heterogeneous Vehicular Networks

机译:ASGR:异构车辆网络中基于人工蜘蛛网的地理路由

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摘要

Recently, vehicular ad hoc networks (VANETs) have been attracting significant attention for their potential for guaranteeing road safety and improving traffic comfort. Due to high mobility and frequent link disconnections, it becomes quite challenging to establish a reliable route for delivering packets in VANETs. To deal with these challenges, an artificial spider geographic routing in urban VAENTs (ASGR) is proposed in this paper. First, from the point of bionic view, we construct the spider web based on the network topology to initially select the feasible paths to the destination using artificial spiders. Next, the connection-quality model and transmission-latency model are established to generate the routing selection metric to choose the best route from all the feasible paths. At last, a selective forwarding scheme is presented to effectively forward the packets in the selected route, by taking into account the nodal movement and signal propagation characteristics. Finally, we implement our protocol on NS2 with different complexity maps and simulation parameters. Numerical results demonstrate that, compared with the existing schemes, when the packets generate speed, the number of vehicles and number of connections are varying, our proposed ASGR still performs best in terms of packet delivery ratio and average transmission delay with an up to 15% and 94% improvement, respectively.
机译:最近,车辆自组织网络(VANET)由于其在保证道路安全和改善交通舒适性方面的潜力而备受关注。由于高移动性和频繁的链路断开,在VANET中建立可靠的路由来传递数据包变得非常具有挑战性。为了应对这些挑战,本文提出了一种在城市VAENT(ASGR)中进行人工蜘蛛地理路由的方法。首先,从仿生学的角度出发,我们基于网络拓扑构造蜘蛛网,以使用人工蜘蛛最初选择到达目的地的可行路径。接下来,建立连接质量模型和传输等待时间模型以生成路由选择度量,以从所有可行路径中选择最佳路由。最后,提出了一种选择性转发方案,通过考虑节点移动和信号传播特性来有效地转发所选路由中的数据包。最后,我们在具有不同复杂度图和仿真参数的NS2上实现我们的协议。数值结果表明,与现有方案相比,当分组产生速度,车辆数量和连接数量变化时,我们提出的ASGR在分组传递率和平均传输延迟方面仍表现最佳,最高可达15%和94%的改善。

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