Multiparallel processing for enhancing the V2V clustering performance

摘要

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. The simulation results of five main efficiency factors that have been involved, namely, complementary cumulative distributions, bit rates, energy efficiency, the cluster head life time, and the ordinary nodes reattaching-head average times, show the feasibility of the new proposition in the V2V data transmission.