路由协议在移动自组网中对移动模型性能的影响

Vijay U. Rathod, S. Gumaste
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引用次数: 1

摘要

术语“移动自组织网络”(manet)指的是目前正在全球范围内流行的一种技术。MANET是一个没有任何集中管理和任何基础设施的网络。它由移动节点(MNs)组成,它们动态地创建网络。虽然移动节点可以快速改变其拓扑结构,但为此需要有效的路由协议来构建连接节点的网络。路由协议的一个关键组成部分是移动节点独立移动的能力。它们可能直接影响网络的整体性能。因此,MANET路由协议的有效性受到节点移动性的显著影响。移动模式显示了实际应用程序中移动用户的位置、位置和节点速度如何随时间变化。为了获得最佳的性能指标,很难为MANET创建一个高效的移动性模型。在本研究中,我们讨论了随机行走(RW)和随机路点(RWP)移动模型对路由参数的影响。在过去,不同路由系统对网络性能的影响已经使用移动性模型进行了评估。因此,移动模式的特性将极大地影响网络的性能。准确的路由调整需要路由协议按照正确的顺序重新安排。因此,流量路由更新开销非常高。这些移动性模式对各种网络协议或应用程序的影响不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Role of Routing Protocol in Mobile Ad-Hoc Network for Performance of Mobility Models
The term "Mobile Ad Hoc Networks" (MANETs) refers to a technology that is currently gaining worldwide popularity. A MANET is a network without any centralized management and without any infrastructure. It is made up of mobile nodes (MNs), which create the network on the fly. Although mobile nodes can quickly change their topology, effective routing protocols are required to build the network connecting nodes for this purpose. A key component of the routing protocol is the ability for mobile nodes to move independently. The network's overall performance may be directly impacted by them. Therefore, the effectiveness of the MANET routing protocol is significantly influenced by node mobility. The movement pattern displays how positions, locations, and node velocities of mobile users change over time in real-world applications. To get the best performance metrics, it is difficult to create an efficient and effective mobility model for MANET. In this study, we discuss the effects of the random walk (RW) and random waypoint (RWP) mobility models on the routing parameters. In the past, different routing systems' effects on network performance have been assessed using mobility models. As a result, the mobility pattern's characteristics will substantially influence how well the network performs. The accurate route adjustments must be rearranged in the correct sequence by the routing protocols. As a result, traffic routing update overheads are very high. These mobility patterns affect various network protocols or applications differently.
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