Multiparallel processing for enhancing the V2V clustering performance,International Journal of Communication Systems

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Multiparallel processing for enhancing the V2V clustering performance
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-07-06 , DOI: 10.1002/dac.4530
Omar R. Daoud ₁ , Qadri J. Hamarsheh ₂ , Ahlam A. Damati ₃

Affiliation

In order to support the demand of the users in the new generation wireless systems (such as the smart interaction between the mobile devices and the mobile human), the resources of the intelligent transportation system should be utilized efficiently. Thus, the network structure adaptation due to the rapid changes in such communication process should be investigated. This is in addition to save the direct impact of the network resources such as high speed data transmission and data processing. Based on the standards for both of vehicular ad hoc network (VANET) and IEEE 802.11p, two main propositions have been examined to attain the improvement in such intelligent systems performance. In this paper, we improved the QoS and proposed a clustering algorithm named MP‐RC‐MBOFDM. It groups the mobile nodes based on their speeds with some modified head assignments processes. This will be combined with a parallel‐processing technique and a wavelet processing stage to optimize the transmitted power phenomenon.

中文翻译：

多重并行处理可增强V2V集群性能

为了支持新一代无线系统中用户的需求（例如移动设备与移动人之间的智能交互），应该有效地利用智能运输系统的资源。因此，应该研究由于这种通信过程的快速变化而引起的网络结构适应性。这还可以节省诸如高速数据传输和数据处理之类的网络资源的直接影响。基于车载自组织网络（VANET）和IEEE 802.11p的标准，已经研究了两个主要主张以实现这种智能系统性能的提高。在本文中，我们改善了QoS，并提出了一种名为MP-RC-MBOFDM的聚类算法。它根据移动节点的速度将其与一些经过修改的头部分配过程进行分组。这将与并行处理技术和小波处理阶段相结合，以优化发射功率现象。

更新日期：2020-07-06

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