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A fuzzy-based approach for energy-efficient Wi-Fi communications in dense wireless multimedia sensor networks

机译:密集无线多媒体传感器网络中基于模糊的节能Wi-Fi通信方法

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Wireless multimedia sensor networks can provide valuable information for many monitoring and control applications, which can process scalar data, still images, audio and video streams. However, multimedia streaming is still very challenging for those networks, since energy constraints limit the attainable bandwidth for data packet transmissions. In some cases, dense sensor networks may have many source nodes streaming at the same time and such transmission demand may not be supported by the network protocols and defined links. Actually, for networks based on IEEE 802.15.4 protocol, multimedia streaming may be unfeasible for many scenarios, even with small numbers of sensors, severely restricting the deployment of multimedia sensor nodes. However, other standards as IEEE 802.11 could provide acceptable bandwidth for multimedia streaming, although energy efficiency is not a major concern for it. In this context, this paper proposes an energy-efficient approach that provides high bandwidth with optimized energy consumption, directly benefiting wireless multimedia sensor networks. A fuzzy-based solution is defined to determine whether Wi-Fi access points should be switched off when they are underutilized, reducing energy consumption while keeping network performance at acceptable levels. (C) 2018 Elsevier B.V. All rights reserved.
机译:无线多媒体传感器网络可以为许多监视和控制应用程序提供有价值的信息,这些应用程序可以处理标量数据,静止图像,音频和视频流。然而,由于能量限制限制了数据分组传输的可达到带宽,因此对于那些网络,多媒体流传输仍然是非常具有挑战性的。在某些情况下,密集的传感器网络可能同时具有许多流式传输的源节点,并且网络协议和定义的链接可能不支持这种传输需求。实际上,对于基于IEEE 802.15.4协议的网络,即使在传感器数量较少的情况下,多媒体流传输在许多情况下也不可行,从而严重限制了多媒体传感器节点的部署。但是,其他标准(例如IEEE 802.11)可以为多媒体流提供可接受的带宽,尽管能源效率并不是主要问题。在这种情况下,本文提出了一种节能方法,该方法可为高带宽提供优化的能耗,从而直接受益于无线多媒体传感器网络。定义了基于模糊的解决方案,以确定在未充分利用Wi-Fi接入点时是否应该关闭它们,从而在降低能耗的同时将网络性能保持在可接受的水平。 (C)2018 Elsevier B.V.保留所有权利。

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