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An Improved Harmony Search Algorithm for Proactive Routing Protocol in VANET

机译:VANET中主动路由协议的改进和声搜索算法

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Vehicular ad-hoc network (VANET) is the direct application of mobile ad-hoc network (MANET) in which the nodes represent vehicles moving in a city or highway scenario. The deployment of VANET relies on routing protocols to transmit the information between the nodes. Different routing protocols that have been designed for MANET were proposed to be applied in VANET. However, the real-time implementation is still facing challenges to fulfill the quality of service (QoS) of VANET. Therefore, this study mainly focuses on the well-known MANET proactive optimized link state routing (OLSR) protocol. The OLSR in VANET gives a moderate performance; this is due to its necessity of maintaining an updated routing table for all possible routes. The performance of OLSR is highly dependent on its parameter. Thus, finding optimal parameter configurations that best fit VANET features and improve its quality of services is essential before its deployment. The harmony search (HS) is an emerging metaheuristic optimization algorithm with features of simplicity and exploration efficiency. Therefore, this paper aims to propose an improved harmony search optimization (EHSO) algorithm that considers the configuration of the OLSR parameters by coupling two stages, a procedure for optimization carried out by the EHSO algorithm based on embedding two popular selection methods in its memory, namely, roulette wheel selection and tournament selection. The experimental analysis shows that the proposed approach has achieved the QoS requirement, compared to the existing algorithms.
机译:车辆ad-hoc网络(VANET)是移动ad-hoc网络(MANET)的直接应用,其中节点代表在城市或高速公路场景中移动的车辆。 VANET的部署依赖于路由协议来传输节点之间的信息。建议在VANET中应用针对枪架设计的不同路由协议。但是,实时实施仍然面临符合符合VANET服务质量(QoS)的挑战。因此,本研究主要集中在众所周知的漫步线主动优化链路状态路由(OLSR)协议上。 Vanet中的OLSR给出了适度的性能;这是因为它需要为所有可能的路由维护更新的路由表。 OLSR的性能高度依赖于其参数。因此,在其部署之前,查找最佳拟合Vanet功能并提高其质量的最佳参数配置。 Harmony Search(HS)是一种新兴的成分型优化算法,具有简单性和勘探效率的特征。因此,本文旨在提出一种改进的和声搜索优化(EHSO)算法,其通过耦合两个阶段来考虑OLSR参数的配置,这是基于嵌入其存储器中的两个流行选择方法的EHSO算法进行的优化过程的过程,即轮盘赌轮选择和锦标赛选择。实验分析表明,与现有算法相比,该方法已经实现了QoS要求。

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