基于组确认机制的车联网中最佳中继节点的选择

Optimal Trunk Node Selection Based on Group-Based Acknowledgement Mechanism in Vehicular Networks

针对特定位置的车辆用户节点和Sink节点,通过选取最佳中继节点来最大限度提高车联网的端到端吞吐量.将上述问题纳入基于组确认机制的车联网模型中,结合数据重传技术及多跳中继技术,提出了最佳中继节点的选择算法OTNS.并借助非线性优化方法来求解,最终确定出车辆用户节点与Sink节点之间的最佳中继的位置,以使得该车辆用户节点与Sink节点间的端到端吞吐量达到最大值.最后通过仿真实验验证了OTNS算法的有效性,结果表明,最佳中继节点的选择方案有利于车联网性能的提高,相比于不使用中继节点,该方案使车联网端到端吞吐量的期望值得到了提高.

According to the location-specific vehicular subscriber node and sink node,the end-to-end throughput of the vehicular networks was improved by selecting out the optimal trunk node.Incorporating this issue into the vehicular networks model which is based on the group-based acknowledgement mechanism,and combining with data retransmission technology and multi-hop relay technology,the optimal trunk node selection（OTNS） algorithm was presented.With the help of the nonlinear optimization method,the location of the optimal trunk node between the vehicular subscriber node and sink node was ultimately determined,which made the end-to-end throughput between the vehicular subscriber node and sink node reach its maximum.Finally,the effectiveness of this algorithm was verified through the simulation experiments,which showed that the selection of optimal trunk node is useful for increasing the vehicular networks performance.Compared to not using the optimal node,the vehicular networks end-to-end throughput expectation was improved on the basis of the proposed method.