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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Dynamic Power-Saving Method for Wi-Fi Direct Based IoT Networks Considering Variable-Bit-Rate Video Traffic
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Dynamic Power-Saving Method for Wi-Fi Direct Based IoT Networks Considering Variable-Bit-Rate Video Traffic

机译：考虑可变比特率视频流量的基于Wi-Fi Direct的IoT网络的动态节能方法

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摘要

With the arrival of the era of Internet of Things (IoT), Wi-Fi Direct is becoming an emerging wireless technology that allows one to communicate through a direct connection between the mobile devices anytime, anywhere. In Wi-Fi Direct-based IoT networks, all devices are categorized by group of owner (GO) and client. Since portability is emphasized in Wi-Fi Direct devices, it is essential to control the energy consumption of a device very efficiently. In order to avoid unnecessary power consumed by GO, Wi-Fi Direct standard defines two power-saving methods: Opportunistic and Notice of Absence (NoA) power-saving methods. In this paper, we suggest an algorithm to enhance the energy efficiency of Wi-Fi Direct power-saving, considering the characteristics of multimedia video traffic. Proposed algorithm utilizes the statistical distribution for the size of video frames and adjusts the lengths of awake intervals in a beacon interval dynamically. In addition, considering the inter-dependency among video frames, the proposed algorithm ensures that a video frame having high priority is transmitted with higher probability than other frames having low priority. Simulation results show that the proposed method outperforms the traditional NoA method in terms of average delay and energy efficiency.
机译：随着物联网（IoT）时代的到来，Wi-Fi Direct正在成为一种新兴的无线技术，它使人们可以随时随地通过移动设备之间的直接连接进行通信。在基于Wi-Fi Direct的IoT网络中，所有设备均按所有者（GO）和客户端组进行分类。由于Wi-Fi Direct设备强调便携性，因此非常有效地控制设备的能耗至关重要。为了避免GO消耗不必要的功率，Wi-Fi Direct标准定义了两种节能方法：机会型和缺席通知（NoA）节能方法。本文针对多媒体视频流量的特点，提出了一种提高Wi-Fi Direct节能效率的算法。提出的算法利用视频帧大小的统计分布，并动态调整信标间隔中唤醒间隔的长度。另外，考虑到视频帧之间的相互依赖性，所提出的算法确保与其他具有低优先级的帧相比，具有高优先级的视频帧以更高的概率被发送。仿真结果表明，该方法在平均延迟和能效方面均优于传统的NoA方法。

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