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A GA-Based Strategy for Deploying Cable Connected Roadside Units in VANETs

机译:基于GA的VANET中部署路边连接电缆单元的策略

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Although wireless roadside unit (w-RSU) is more flexible than cable connected roadside unit (c-RSU), the excellent performance of c-RSU, such as high communication capability and large communication range, ensures its role in VANETs. Deploying c-RSUs at large area can bring high cable cost and different RSU positions may contribute to distinct cable cost even the number of RSU is fixed, which is often overlooked in current research. Hence, in this paper, we incorporate cable cost into the deployment scheme and treat selecting c-RSU positions as an inseparable procedure with that of selecting road segments to lay cable between c-RSUs. A two layer embedded genetic algorithm (TLEGA) is proposed to make tradeoff between deployment budget and network performance. TLEGA contains an embedded evolution structure so that the RSU position population and road segment population can co-evolve. Simulation results show TLEGA can find optimal deployment schemes within a limited number of run and the advantages of deploying c-RSUs instead of w-RSUs in high frequency zone of accident are also verified.
机译:尽管无线路边单元(w-RSU)比有线路边单元(c-RSU)更灵活,但是c-RSU的出色性能(如高通信能力和大通信范围)确保了其在VANET中的作用。在大面积部署c-RSU可能会带来高昂的电缆成本,即使RSU的数量是固定的,不同的RSU位置也可能导致不同的电缆成本,这在当前研究中经常被忽略。因此,在本文中,我们将电缆成本纳入部署方案,并将选择c-RSU位置与选择路段在c-RSU之间铺设电缆的过程视为不可分割的过程。提出了一种两层嵌入式遗传算法(TLEGA)来在部署预算和网络性能之间进行权衡。 TLEGA包含一个嵌入式的进化结构,因此RSU位置人口和路段人口可以共同进化。仿真结果表明,TLEGA可以在有限的运行次数内找到最佳的部署方案,并验证了在事故高频率区域部署c-RSU而不是w-RSU的优势。

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