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Adaptive Admission Control for IoT Applications in Home WiFi Networks

机译:家庭WiFi网络中IOT应用的自适应录取控制

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Assuring the required quality of service, despite the growing volume and variety of Internet of Things (IoT) traffic, has remained an immense challenge in the popular WiFi networks. The IoT devices using short TCP flows often attain very different levels of service due to the complicated interactions between the transport layer protocol and the shared dynamic wireless medium. We develop in this paper a novel queue management policy by using a transient model to capture the interactions of IoT (short TCP) flows over traditional traffic in WiFi networks. Based on the Markov regenerative processes coupled with fluid model, we discover that the adaptive admission control (AAC) mechanism at the WiFi access point (AP) improves the response time and fairness of IoT traffic over the lossy WiFi links. To this end, under the proposed AAC, packets are admitted into the AP in such a way that the fractions of packets in the AP buffer belonging to the different IoT devices are balanced resulting in a comparable level of service. We furthermore prove the stability of the system dynamics under AAC which provides important practical insights in designing home WiFi IoT system.
机译:确保所需的服务质量,尽管越来越大的东西(物联网)交通量,但在流行的WiFi网络中仍然是一个巨大的挑战。由于传输层协议和共享动态无线介质之间的复杂交互,使用短TCP流量的IOT设备通常会获得非常不同的服务级别。我们在本文中开发了一种新的队列管理策略,通过使用瞬态模型来捕获IOT(短TCP)流量在WiFi网络中的传统流量上的交互。基于与流体模型耦合的马尔可夫再生过程,我们发现WiFi接入点(AP)的自适应录取控制(AAC)机制改善了IOT流量超过了损失WiFi链路的响应时间和公平。为此,在所提出的AAC下,分组以这样的方式进入AP,使得属于不同物联网设备的AP缓冲器中的分组的分数是平衡的,从而产生了相当的服务水平。我们还在AAC下证明了系统动态的稳定性,在设计家庭WiFi IOT系统方面提供了重要的实用洞察。

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