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An Application-aware QoS Routing Algorithm for SDN-based IoT Networking

机译:基于SDN的IOT网络网络的应用感知QoS路由算法

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With numerous emerging internet of things (IoT) devices, they generate big data. The big data transmitted to the cloud or fog will consume massive network bandwidth. This may result in the IoT network easily encountering network congestion. Moreover, there are IoT applications that need to transfer multimedia data with multiple quality of service (QoS) requirements. A state-of-the-art, MINA, intends to meet multiple QoS requirements of IoT applications; however, it is unable to guarantee QoS requirements of high-priority IoT applications and it is also unable to adapt to the current network status. To conquer the above problems, we propose an application-aware QoS routing algorithm (AQRA) for SDN-based IoT networking to guarantee multiple QoS requirements of high-priority IoT applications and to adapt to the current network status for better routing paths. Evaluation results have shown that, the AQRA has better fitness ratios of QoS requirements compared to MINA while multiple QoS requirements of high-priority IoT applications are guaranteed. The AQRA improves the average end-to-end flow performance by 10.75%, 11.88% and 10.82% compared to MINA in terms of delay, jitter and packet loss rate, respectively. The AQRA improves the standard deviation of end-to-end flow performance by 14.37%, 17.95% and 14.28% compared to MINA in terms of delay, jitter and packet loss rate, respectively. In addition, the runtime of the AQRA is 38.56% shorter than that of MINA.
机译:随着众多新兴的东西(物联网)设备,它们会产生大数据。传输到云或雾的大数据将消耗大量网络带宽。这可能导致物联网网络容易遇到网络拥塞。此外,有需要传输具有多种服务质量(QoS)要求的多媒体数据的IOT应用程序。最先进的,MINA打算满足IOT应用程序的多种QoS要求;但是,它无法保证高优先级IOT应用程序的QoS要求,也无法适应当前的网络状态。为了征服上述问题,我们提出了一种用于基于SDN的IOT网络的应用程序感知QoS路由算法(AQRA),以保证高优先级IOT应用程序的多个QoS要求,并适应当前网络状态以获得更好的路径路径。评价结果表明,与MINA相比,AQRA具有更好的QoS要求的适应性比,而高优先级IOT应用的多个QoS要求得到保证。与延迟,抖动和数据包损失率分别与MINA相比,AQRA将平均端到端流量性能提高10.75%,11.88%和10.82%。与Mina分别在延迟,抖动和丢包率方面,AQRA将端到端流量性能的标准偏差提高14.37%,17.95%和14.28%。此外,AQRA的运行时间比MINA短38.56%。

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