The purpose of vehicular ad hoc network (VANET) is timely, effectively and efficiently transmission of urgent messages from source to destination. These objectives can be solved effectively with geocast routing approaches in VANETs as the most of the intelligent transportation system (ITS) applications require sending information to the vehicles belonging to a particular geographic region. In this paper an attempt has been made to develop the geocast routing protocols using fuzzy logic. The fuzzy logic routing (FLR) approach is used to implement the protocols. Three membership functions for each input distance, direction, speed and five membership functions for output (chance) with Mamdani fuzzy inference system (FIS) are used. MATLAB R2015a has been used to analyze the performance of developed protocols and compared with other fuzzy routing protocols in terms of PDR and delay. It has been observed that fuzzified geocast protocols developed with FLR approach outperform fuzzy based unicast protocols reported by other authors.

中文翻译：

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Ad Hoc网络中基于模糊逻辑的Geocast路由。

车载自组织网络（VANET）的目的是及时，有效和高效地将紧急消息从源传输到目的地。VANET中的地理广播路由方法可以有效解决这些目标，因为大多数智能运输系统（ITS）应用程序都需要向属于特定地理区域的车辆发送信息。在本文中，已经尝试使用模糊逻辑来开发地理广播路由协议。模糊逻辑路由（FLR）方法用于实现协议。使用Mamdani模糊推理系统（FIS）时，每个输入距离，方向，速度的三个隶属度函数和输出（机会）的五个隶属度函数被使用。MATLAB R2015a已用于分析已开发协议的性能，并在PDR和延迟方面与其他模糊路由协议进行了比较。已经观察到，用FLR方法开发的模糊化的地理广播协议优于其他作者报告的基于模糊的单播协议。