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Power Consumption Analysis for Distributed Video Sensors in Machine-to-Machine Networks

机译:机器对机器网络中的分布式视频传感器的功耗分析

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摘要

Among different sensors used in machine-to-machine (M2M) networks, video sensors can provide the richest information. However, much higher bandwidth and power consumption limit the feasibility of wide deployment. To integrate visual data acquisition ability into M2M networks, the design of low-power distributed video sensors is the key. This paper presents the power analysis of distributed video sensors. The power profile of a distributed video sensor node is first shown from measurement results, followed by detailed discussion of video coding engine selection, where the state-of-the-art H.264/AVC coding engine is compared with distributed video coding engine. Moreover, the role of video content analysis is addressed. This paper can provide a fundamental basis for future distributed video sensor design.
机译:在机器对机器(M2M)网络中使用的不同传感器中,视频传感器可以提供最丰富的信息。但是,更高的带宽和功耗限制了广泛部署的可行性。为了将可视数据采集功能集成到M2M网络中,低功耗分布式视频传感器的设计是关键。本文介绍了分布式视频传感器的功率分析。首先根据测量结果显示分布式视频传感器节点的功率曲线,然后详细讨论视频编码引擎的选择,然后将最新的H.264 / AVC编码引擎与分布式视频编码引擎进行比较。此外,解决了视频内容分析的作用。本文可以为将来的分布式视频传感器设计提供基础。

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