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An Efficient Multi-path Routing Algorithm Based on Hybrid Firefly Algorithm for Wireless Mesh Networks

机译:无线网状网中基于混合萤火虫算法的高效多径路由算法

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Wireless Mesh Network (WMN) uses the latest technology which helps in providing end users a high quality service referred to as the Internet's "last mile". Also considering WMN one of the most important technologies that are employed is multicast communication. Among the several issues routing which is significantly an important issue is addressed by every WMN technologies and this is done during the process of data transmission. The IEEE 802.11s Standard entails and sets procedures which need to be followed to facilitate interconnection and thus be able to devise an appropriate WMN. There has been introduction of several protocols by many authors which are mainly devised on the basis of machine learning and artificial intelligence. Multi-path routing may be considered as one such routing method which facilitates transmission of data over several paths, proving its capabilities as a useful strategy for achieving reliability in WMN. Though, multi-path routing in any manner cannot really guarantee deterministic transmission. As here there are multiple paths available for enabling data transmission from source to destination node. The algorithm that had been employed before in the studies conducted did not take in to consideration routing metrics which include energy aware metrics that are used for path selection during transferring of data. The following study proposes use of the hybrid multipath routing algorithm while taking in to consideration routing metrics which include energy, minimal loss for efficient path selection and transferring of data. Proposed algorithm here has two phases. In the first phase prim's algorithm has been proposed so that in networks route discovery may be possible. For the second one the Hybrid firefly algorithm which is based on harmony search has been employed for selection of the most suitable and best through proper analysis of metrics which include energy awareness and minimal loss for every path that has been discovered. Simulation results clearly shows that proposed algorithm performance is far better than other traditional algorithms in metrics such as packet delivery ratio, average end-to-end delay as well as routing overhead; additionally, it possesses high resilience in terms of capacity to cope with topological changes, which makes it absolutely appropriate and suitable for deployment in to industrial wireless mesh networks.
机译:无线网状网络(WMN)使用最新技术,该技术有助于为最终用户提供称为互联网“最后一英里”的高质量服务。还考虑到WMN所采用的最重要的技术之一是多播通信。在各种重要问题中,路由是每个WMN技术都解决的一个重要问题,它是在数据传输过程中完成的。 IEEE 802.11s标准包含并设置了必须遵循的过程以促进互连,从而能够设计适当的WMN。许多作者已经引入了几种协议,这些协议主要是基于机器学习和人工智能而设计的。多路径路由可以被视为一种这样的路由方法,它有助于在多个路径上传输数据,证明其功能是实现WMN可靠性的有用策略。但是,以任何方式进行的多路径路由都不能真正保证确定性的传输。如此处所示,有多个路径可用于启用从源到目标节点的数据传输。在进行的研究中以前使用的算法没有考虑路由度量,其中包括在数据传输期间用于路径选择的能量感知度量。以下研究提出了混合多路径路由算法的使用,同时考虑了路由指标,包括能量,有效路径选择和数据传输的最小损耗。这里提出的算法有两个阶段。在第一阶段,已经提出了prim算法,因此在网络中路由发现是可能的。对于第二种方法,基于和谐搜索的混合萤火虫算法已用于通过对指标的适当分析来选择最合适,最合适的指标,这些指标包括能量意识和已发现的每条路径的最小损失。仿真结果清楚地表明,所提出的算法在分组传输率,平均端到端延迟以及路由开销等指标上的性能远远优于其他传统算法。此外,它在应对拓扑变化的能力方面具有很高的弹性,这使其绝对合适并适合部署到工业无线网状网络中。

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