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A Neural Networks-Based Hybrid Routing Protocol for Wireless Mesh Networks

机译:无线网状网络中基于神经网络的混合路由协议

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摘要

The networking infrastructure of wireless mesh networks (WMNs) is decentralized and relatively simple, but they can display reliable functioning performance while having good redundancy. WMNs provide Internet access for fixed and mobile wireless devices. Both in urban and rural areas they provide users with high-bandwidth networks over a specific coverage area. The main problems affecting these networks are changes in network topology and link quality. In order to provide regular functioning, the routing protocol has the main influence in WMN implementations. In this paper we suggest a new routing protocol for WMN, based on good results of a proactive and reactive routing protocol, and for that reason it can be classified as a hybrid routing protocol. The proposed solution should avoid flooding and creating the new routing metric. We suggest the use of artificial logic—i.e., neural networks (NNs). This protocol is based on mobile agent technologies controlled by a Hopfield neural network. In addition to this, our new routing metric is based on multicriteria optimization in order to minimize delay and blocking probability (rejected packets or their retransmission). The routing protocol observes real network parameters and real network environments. As a result of artificial logic intelligence, the proposed routing protocol should maximize usage of network resources and optimize network performance.
机译:无线网状网络(WMN)的网络基础架构是分散的并且相对简单,但是它们可以显示可靠的运行性能,同时具有良好的冗余性。 WMN为固定和移动无线设备提供Internet访问。在城市和农村地区,它们都为用户提供了特定覆盖区域内的高带宽网络。影响这些网络的主要问题是网络拓扑和链路质量的变化。为了提供常规功能,路由协议在WMN实现中具有主要影响。在本文中,我们基于主动和反应式路由协议的良好结果,提出了一种新的WMN路由协议,因此可以将其归类为混合路由协议。提出的解决方案应避免泛洪并创建新的路由度量。我们建议使用人工逻辑-即神经网络(NNs)。该协议基于由Hopfield神经网络控制的移动代理技术。除此之外,我们的新路由度量基于多准则优化,以最大程度地减少延迟和阻塞概率(被拒绝的数据包或其重传)。路由协议遵守真实的网络参数和真实的网络环境。作为人工智能的结果,提出的路由协议应最大限度地利用网络资源并优化网络性能。

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