移动AD HOC网络中的加权轮询调度算法

A. Mohammed, N. Abdullah, Sameer Alani, Othman S. Alheety, Mohammed Mudhafar Shaker, M. A. Saad, S. Mahmood
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引用次数: 3

摘要

移动自组织网络(MANET)是一组自导向的移动处理程序,它们在相对带宽受限的无线信道上进行通信。许多类型的数据可以在MANET中传输,如数据、语音和视频流,这需要足够的分组路由和调度机制。这些调度算法有责任保证不同服务类别的质量,如未请求授权服务(UGS)、实时轮询服务(RTPS)、非实时轮询服务(NRTPS)和最佳努力(BE)。本课题提出了对不同调度算法进行性能评价的需求,选取了四种著名的MANET调度算法进行了研究。这些算法包括RR (Round Robin)算法、SP (Strict Priority)算法、WF (Weighted Fair)算法和WRR (Weighted Round Robin)算法。使用网络模拟器QualNet 2.0.1构建了由50个随机移动节点组成的MANET场景。结果显示了网络的性能指标,如吞吐量和端到端延迟,以及队列指标,如峰值队列大小、平均队列长度、平均队列时间和丢弃的总数据包。在吞吐量方面,SP算法的吞吐量比WF、RR和WRR分别高出4.5%、2.4%和1.42%,但WRR在端到端延迟方面优于其他算法。在峰值队列大小和平均输出队列长度方面,WRR分别比RP、WF和WRR高10.13%、9.6%和5.32%,是最佳调度算法。相比之下,WRR在排队上花费了更多的时间,但在防止数据包丢失方面是最好的。
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Weighted Round Robin Scheduling Algorithms in Mobile AD HOC Network
A Mobile Ad-hoc Network (MANET) is a self-directed group of mobile handlers that communicate over relatively bandwidth constrained wireless channels. Many types of data could be transferred in MANET such as data, voice, and video streaming which is required sufficient packet routing and scheduling mechanisms. These scheduling algorithms have the responsibility to guarantee the different quality of service classes such as Unsolicited Grant Service (UGS), Real-Time Polling Service (RTPS), Non-Real-Time Polling Service (NRTPS), and Best Effort (BE). The demand for performance evaluation for different scheduling algorithms is imposed to this project, in which four famous MANET scheduling algorithms are selected and investigated. These algorithms are Round Robin (RR), Strict Priority (SP), Weighted Fair (WF), and Weighted Round Robin (WRR). The MANET scenario which is consisting of 50 random mobile nodes is built using network simulator QualNet 2.0.1. The results show the performance metrics of the network such as the throughput and the end-end delay as well as queuing metrics such as peak queue size, average queue length, the average time in queue, and total packets dropped. Regrading throughput, the SP algorithm has higher throughput than WF, RR, and WRR by 4.5%, 2.4%, and 1.42%, but WRR has outperformed others regarding the end-to-end delay. Moreover, WRR represents the best scheduling algorithm regarding both peak queue size since its higher than RP, WF, and WRR by 10.13%, 9.6%, and 5.32%, in order, and average output queue length.in contrast, WRR worst more time in queuing but it is the best in preventing the packets from dropping.
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