Attempts have been made to discuss how successfully data can be delivered in vehicular ad hoc network which is a special kind of ad hoc network distinguished by its node movement characteristics, hybrid network architectures, and new application scenarios. The research shows that the application of fuzzy logic techniques in multi-hop greedy position-based routing helps in successfully delivering data on roads. A mathematical model has been developed and proposed a fuzzy logic-based greedy routing algorithm (FLGR) for next-hop node selection in vehicular network. FLGR was coded and simulated in MATLAB 7.0 in order to evaluate its performance in terms of average packet delivery ratio and average hop count. The results show that FLGR performs better as compared to other next-hop neighbor node selection methods and helps in delivering data successfully.

中文翻译：

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VANET中基于贪婪位置的智能多跳路由选择算法

已经尝试讨论如何在车载自组织网络中成功地传送数据，该网络是一种特殊的自组织网络，其特征在于其节点移动特性，混合网络体系结构和新的应用场景。研究表明，模糊逻辑技术在基于多跳贪婪位置的路由中的应用有助于成功地在道路上传递数据。已经建立了数学模型，并提出了用于车辆网络中下一跳节点选择的基于模糊逻辑的贪婪路由算法（FLGR）。为了在平均数据包传输率和平均跳数方面评估FLGR的性能，在MATLAB 7.0中对FLGR进行了编码和仿真。