车联网中的异构网络融合机制研究

Heterogeneous Network Fusion Mechanism in Vehicle Networks

研究车联网中的异构网络融合机制,重点研究车联网中异构网络的切换机制和异构网络的选择机制。针对车联网场景中异构网络的选择机制,提出了一种基于运动预测的多属性决策网络选择算法。该方案的主要思想是采用基于马尔科夫链的运动预测机制预测出车辆的行驶轨迹,根据多属性决策网络选择算法,使车载移动终端从候选网络集中选择一个最适合的网络接入。实践表明,该算法不仅可以有效避免或减少乒乓效应的产生,减少网络切换的次数,而且能够使车载移动终端选择最适合的网络接入。

The heterogeneous network fusion mechanism in vehicle network is studied, with focus on the switching mechanism of heterogeneous network and the selection mechanism of heterogeneous network. Aiming at the selection mechanism of heterogeneous networks in vehicle networking scenarios, a multi-attribute decision network selection algorithm based on motion prediction is proposed. The main idea of the scheme is to predict the vehicle trajectory with the motion prediction mechanism based on Markov chain, and then, in accordance with the multi-attribute decision network selection algorithm, the vehicle mobile terminal may select the most appropriate network access from the candidate network set. The experiment indicates that this algorithm could avoid or reduce the effect of ping-pong effect, decrease the number of network switching, and enable the vehicle mobile terminal to select the most appropriate network access.