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Estimation of Network Type Based on The Response Delay Property

机译:基于响应延迟属性的网络类型估算

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The large number of Internet of things (IoT) terminals increases the cost and difficulty of IoT network management such as network scan. Some wireless IoT networks that have low transmission data rate especially require low overhead for network management to avoid interruption. Hence, it is important to make automatic identification of network type for effective network management. In this study, we at first carry out laboratory experiments of network scan to wireless terminals in wireless LAN (WLAN), Long Term Evolution (LTE) and Low Power, Wide Area (LPWA) networks that include Wi-SUN and LoRa network. From the result of response delay obtained from each network in the experiments, we then examine the basic property of the response delay, especially about the minimum response delay. Finally, we propose a scheme of network-type estimation based on the property of the minimum delay in different networks. The performance of the proposed scheme of network-type estimation is evaluated regarding the network objects of WLAN, LTE and LPWA networks. The evaluation results show that the scan response delay is a useful factor for successfully identifying different types of IoT networks.
机译:大量的东西(物联网)终端(IoT)终端增加了IoT网络管理的成本和难度,例如网络扫描。具有低传输数据速率的无线IOT网络尤其需要低开销,以避免中断。因此,重要的是为有效网络管理自动识别网络类型。在本研究中,我们首先在无线LAN(WLAN),长期演进(LTE)和低功耗,广域(LPWA)网络中的无线终端进行网络扫描的实验室实验,包括Wi-Sun和Lora网络。从实验中的每个网络获得的响应延迟的结果,我们将检查响应延迟的基本属性,特别是关于最小响应延迟。最后,我们提出了一种基于不同网络最小延迟的属性的网络型估计方案。关于WLAN,LTE和LPWA网络的网络对象评估所提出的网络类型估计方案的性能。评估结果表明,扫描响应延迟是成功识别不同类型的IOT网络的有用因素。

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