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Analysis and adaptive optimization of vehicular safety message communications at intersections
Ad Hoc Networks ( IF 4.4 ) Pub Date : 2020-06-12 , DOI: 10.1016/j.adhoc.2020.102241
Wang Yanbin , Wu Zhuofei , Zhao Jing , Li Zhijuan , Ma Xiaomin

Safety-related applications in Vehicular Ad-hoc Networks (VANETs) can help to reduce the number of traffic accidents by periodically broadcasting Basic Safety Messages (BSMs). But considering that the density and topology of VANET change frequently, the Quality of Service (QoS) of safety applications with the fixed transmission parameters would not always meet the requirements of safety-related applications. In this paper, we firstly propose an analytical model to evaluate the performance of the BSM broadcast in VANET at the intersections. The effect of the traffic light is also taken into account by introducing the non-homogeneous Poisson process (NHPP) vehicle distribution, which is simulated by microscopic traffic simulator SUMO and validated by Kolmogorov-Smirnov (K-S) test. Secondly, the number of vehicles in the hidden terminal area and the concurrent transmission area need to be computed by complex integral computations for the proposed analytical model for evaluating the QoS of the safety applications, while the vehicle BSMs provide the vehicle location, speed, and transmission parameters, and these BSMs could be measured and collected in a timely manner to integrate into the analytical model to save the complex integral calculations. Based on the cross-validation QoS metrics between the NS2 (Network Simulator-ns-2) simulation and the analytical model, we employ the vehicle entity of the NS2 simulation model to represent the actual vehicle BSMs, to obtain the number of vehicles in the hidden terminal area and the concurrent transmission area. Finally, to maximize the transmission capacity and minimize the delay under the constraint of maintaining a high application-level QoS of safety applications, a multi-objective optimization scheme with Bare Bones Particle Swarm Optimization (BBPSO) is proposed to dynamically adjust multi transmission parameters. The accuracy of the proposed analytical model is validated by the NS2 simulation. The experimental results also show that the optimized ones could get better results compared with the real test-bed used transmission parameters. Furthermore, the comparisons with slotted-p(or 1)-persistent protocol and CSMA/CA with retransmission strategy show that the proposed solution could make VANET work with better performance at various vehicle densities.



中文翻译:

交叉口车辆安全信息通信分析与自适应优化

车载自组织网络(VANET)中与安全相关的应用程序可以通过定期广播基本安全消息(BSM)来帮助减少交通事故的数量。但是考虑到VANET的密度和拓扑结构经常变化,具有固定传输参数的安全应用程序的服务质量(QoS)并不总是能满足安全相关应用程序的要求。在本文中,我们首先提出一种分析模型,以评估交叉口在VANET中广播的BSM的性能。通过引入非均匀泊松过程(NHPP)车辆分布,也可以考虑到交通信号灯的影响,该分布是由微观交通模拟器SUMO模拟并通过Kolmogorov-Smirnov(KS)测试验证的。其次,对于建议的用于评估安全应用的QoS的分析模型,需要通过复杂的积分计算来计算隐藏终端区域和并发传输区域中的车辆数量,而车辆BSM提供车辆位置,速度和传输参数,并且可以及时测量和收集这些BSM,以将其集成到分析模型中,以节省复杂的积分计算。基于NS2(Network Simulator-ns-2)仿真和分析模型之间的交叉验证QoS指标,我们使用NS2仿真模型的车辆实体来代表实际的车辆BSM,以获取实际车辆BSM。隐藏终端区和并发传输区。最后,为了在保持安全应用的高应用级QoS的约束下最大化传输容量并最大程度地减少延迟,提出了一种采用裸骨粒子群优化(BBPSO)的多目标优化方案来动态调整多个传输参数。NS2仿真验证了所提出分析模型的准确性。实验结果还表明,与实际试验台所使用的传输参数相比,优化后的系统可以获得更好的结果。此外,与开槽p(或1)持久协议和具有重传策略的CSMA / CA的比较表明,所提出的解决方案可以使VANET在各种车辆密度下都具有更好的性能。提出了一种利用裸骨粒子群优化算法(BBPSO)的多目标优化方案,以动态调整多传输参数。NS2仿真验证了所提出分析模型的准确性。实验结果还表明,与实际试验台所使用的传输参数相比,优化后的系统可以获得更好的结果。此外,与开槽p(或1)持久协议和具有重传策略的CSMA / CA的比较表明,所提出的解决方案可以使VANET在各种车辆密度下都具有更好的性能。提出了一种利用裸骨粒子群优化算法(BBPSO)的多目标优化方案,以动态调整多传输参数。NS2仿真验证了所提出分析模型的准确性。实验结果还表明,与实际试验台所使用的传输参数相比,优化后的系统可以获得更好的结果。此外,与开槽p(或1)持久协议和具有重传策略的CSMA / CA的比较表明,所提出的解决方案可以使VANET在各种车辆密度下都具有更好的性能。实验结果还表明,与实际试验台所使用的传输参数相比,优化后的系统可以获得更好的结果。此外,与开槽p(或1)持久协议和具有重传策略的CSMA / CA的比较表明,所提出的解决方案可以使VANET在各种车辆密度下都具有更好的性能。实验结果还表明,与实际测试台所用的传输参数相比,优化后的算法可以获得更好的结果。此外,与开槽p(或1)持久协议和具有重传策略的CSMA / CA的比较表明,所提出的解决方案可以使VANET在各种车辆密度下都具有更好的性能。

更新日期:2020-06-12
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