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New NSGA-Ⅱ-based OLSR self-organized routing protocol for mobile ad hoc networks

机译:新的基于NSGA-Ⅱ的移动自组网OLSR自组织路由协议

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The problem of routing in ad hoc networks, in particular proactive routing, has attracted the attention of many researchers. Although the protocols proposed in the literature present some relevant characteristics, they also have their limitations, especially in terms of high number of mobile nodes or in terms of high number of load-dependent parameters of the ad hoc network which are often chosen intuitively by a seasoned expert. This paper describes our work to solve this difficult task using a multi-objective genetic algorithm to automate the selection process of the routing protocol parameters. The realized experiments showed the effectiveness of the proposed NGSA-II-OLSR compared to the original OLSR. In case of low node mobility, the proposed NSGA-II-OLSR improves the PLR between 8.59 and 33.17%; the E2ED between 18.17 and 27.56%; and the NRL between 35.18 and 36.60%. While in case of high mobility node, it improves the PLR between 3.47 and 9.94%; the E2ED between 1.47 and 9.40%; and the NRL between 0.14 and 2.34%. In addition, the algorithm can adapt the ad hoc network to each topology change which makes it adaptive to any environment changing.
机译:自组织网络中的路由问题,尤其是主动路由,已经引起了许多研究人员的关注。尽管文献中提出的协议具有一些相关的特征,但是它们也有其局限性,特别是在移动节点数量众多或ad hoc网络的负载相关参数数量众多的情况下,通常由用户直观地选择这些协议。经验丰富的专家。本文介绍了我们使用多目标遗传算法解决路由协议参数选择过程中的这一难题的工作。已实现的实验表明,与原始OLSR相比,拟议的NGSA-II-OLSR的有效性。在节点移动性较低的情况下,建议的NSGA-II-OLSR可将PLR提高8.59至33.17%。 E2ED在18.17至27.56%之间; NRL在35.18%至36.60%之间。而在高移动性节点的情况下,它可以将PLR提高3.47%至9.94%。 E2ED在1.47和9.40%之间; NRL在0.14至2.34%之间。另外,该算法可以使ad hoc网络适应每个拓扑更改,从而使其适应于任何环境更改。

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