Vehicular AdHoc Networks are the most prominent and efficient technology nowadays. It achieves a high gain by using intelligent transportation systems due to their advanced version. Generally, all vehicle users expect low traffic jams and high degree of safety and security during their travel. It can be achieved by technique called Prediction Based Authentication. We present a fuzzy logic based decision making process by localization and recursion algorithm. It satisfies all the above user expectations like availability of alternative path when the travel route is busy and time minimization with low packet loss. In this algorithm we use two metrics namely position and distance metric for the purpose of easy data transmission. In this approach we do not generate any keys for transmitting the data packets. It will be done by using binary values. By creating adversary nodes the information can easily be transmitted to the neighbour nodes so that data loss can be minimized. Here, the system can operate in both online and off line modes.

中文翻译：

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车载AdHoc网络中基于定位和递归算法的模糊逻辑决策。

车载AdHoc网络是当今最突出和最有效的技术。由于使用了先进的智能运输系统，因此可以实现很高的收益。通常，所有车辆使用者都希望在旅途中交通拥堵少，安全性高。可以通过称为基于预测的身份验证的技术来实现。我们通过定位和递归算法提出了一种基于模糊逻辑的决策过程。它满足了上述所有用户的期望，例如，当旅行路线繁忙时，备用路径的可用性以及数据包丢失少的时间最小化。在该算法中，为了方便数据传输，我们使用两个指标，即位置和距离指标。在这种方法中，我们不会为传输数据包生成任何密钥。这将通过使用二进制值来完成。通过创建对手节点，可以轻松地将信息传输到邻居节点，从而可以最大程度地减少数据丢失。在这里，系统可以在联机和脱机模式下运行。