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A GRASP based heuristic for Deployment Roadside Units in VANETs

机译:基于GRASP的启发式方法用于VANET中的部署路边单元

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In this work we propose a new algorithm, Delta-r-GRASP, for solving the allocation of Roadside Units (RSUs) in a Vehicular Network. Our goal is to find the minimum set of RSUs to meet a Deployment Δ. The Deployment Δ is a metric for specifying minimum communication guarantees from the infrastructure supporting the Vehicular Network. We compare our algorithm with a baseline algorithm, Delta-r. Moreover, we compare our results with the optimal value achieved by solver CPLEX. Our results demonstrate that our approach requires up to 85% fewer RSUs to achieve the same deployment efficiency, and our results differ no more than 15% from the optimal values.
机译:在这项工作中,我们提出了一种新的算法Delta-r-GRASP,用于解决车辆网络中路边单元(RSU)的分配。我们的目标是找到满足部署Δ的最小RSU集。部署Δ是用于指定来自支持车辆网络的基础设施的最小通信保证的度量。我们将我们的算法与基准算法Delta-r进行比较。此外,我们将结果与求解器CPLEX所获得的最佳值进行比较。我们的结果表明,我们的方法需要达到相同部署效率的RSU减少多达85%,并且我们的结果与最佳值的差异不超过15%。

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