A FC2TA model for congestion management in confidence AODV protocol

Rahim Rashidi, Farugh Katani, Saeid Usefpour, Faroogh Ashkooti
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Abstract

Ad-hoc networks, as well as many wireless networks and wired networks applied here to do and the proper function of routing data packets forwarding, maintenance and update routing information, the security need. Mobile ad hoc networks due to the special properties of operations and placement of often unstructured meshes, or self-organizing ad-hoc networks are known. In these networks in order to extend the communication range of nodes, more than a step, configure routing algorithms are used. In fact, security was a prerequisite for the proper functioning of network operations and without it there is no guarantee for the proper conduct of the exercise and Attackers can easily disrupt the integrity of the network. The trust model proposed by Pirzada and his colleagues route based on at least step is not created. It will be nodes in the path which other nodes are more confident, the old Confidence models can be use that have three part of the Confidence section, Share section and Merge section. So there are high chances of congestion in nodes with confidence. In AODV routing protocol congestion management is vital, so in this paper, a FC2TA model is presented. The FC2TA model increase nodes energy, network stability and balancing on the nodes that have high confidence. Here we apply the FC2TA model to the latest version of AODV. Because of that these protocols constantly improving and now in the development phase. The simulation model is done in Fuzzy Logic Tools in MATLAB.
保密AODV协议中拥塞管理的FC2TA模型
Ad-hoc网络以及许多无线网络和有线网络应用在这里做路由和数据包转发、维护和更新路由信息的适当功能,有安全的需要。移动自组织网络由于其操作的特殊性质和通常非结构化网格的放置,或自组织自组织网络是已知的。在这些网络中,为了扩展节点间的通信范围,多采用步长、组态路由算法。事实上,安全是网络操作正常运行的先决条件,没有安全就无法保证正常进行演习,攻击者很容易破坏网络的完整性。Pirzada等提出的基于至少步长路由的信任模型没有建立。这将是路径中其他节点更有信心的节点,可以使用旧的信心模型,有三个部分的信心部分,共享部分和合并部分。因此,有信心的节点中拥塞的可能性很高。在AODV路由协议中,拥塞管理是至关重要的,因此本文提出了一个FC2TA模型。FC2TA模型在具有高置信度的节点上增加了节点能量、网络稳定性和均衡性。这里我们将FC2TA模型应用于最新版本的AODV。正因为如此,这些协议不断改进,现在处于开发阶段。仿真模型在MATLAB中的模糊逻辑工具中完成。
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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