Fuzzy logic based data dissemination in Vehicular Ad Hoc Networks

Revati S. Jadhav, Manoj M. Dongre, Geeta Devurkar
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引用次数: 9

Abstract

Vehicular Ad hoc Networks (VANETs), a sub group of Mobile Ad hoc Networks (MANETs), are networks that have no fixed infrastructure and instead depend on the vehicles themselves to provide exchange of information. They have potential in enhancing road safety by sharing emergency information to other vehicles in the network. However, because of constant movement of vehicles, presenting a successful broadcast service in VANETs is challenging. Therefore, we propose an approach which uses fuzzy logic, with the help of fuzzy logic tool box in MATLAB software, to choose the forwarding nodes and uses network coding to reduce the number of retransmissions. By means of fuzzy logic, the best forwarding nodes are selected which further transmit the messages. By integrating network coding with the fuzzy logic based forwarding, we significantly reduce the number of required transmissions and thus enhance the efficiency for disseminating messages in VANET system.
基于模糊逻辑的车载自组织网络数据分发
车辆自组织网络(vanet)是移动自组织网络(manet)的一个子网络,它没有固定的基础设施,而是依赖于车辆本身来提供信息交换。通过与网络中的其他车辆共享紧急信息,它们有可能提高道路安全。然而,由于车辆的不断移动,在VANETs中提供成功的广播服务是具有挑战性的。因此,我们提出了一种利用模糊逻辑的方法,借助MATLAB软件中的模糊逻辑工具箱来选择转发节点,并利用网络编码来减少重传次数。利用模糊逻辑选择最佳转发节点,进一步实现报文的转发。通过将网络编码与基于模糊逻辑的转发相结合,大大减少了VANET系统所需的传输次数,从而提高了VANET系统的消息传播效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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