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Multipath multi-stream distributed reliable video delivery in Wireless Sensor Networks

机译:无线传感器网络中的多路径多流分布式可靠视频传输

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Reliably transporting captured video content over Wireless Sensor Networks (WSNs) poses several challenges due to the unique energy constraints presented by individual sensor nodes. The nature and amount of video content is another challenge that further complicates WSN data reliability problem. Motivated by the aforementioned factors, in this work, we propose an architecture that promises to enhance received video quality along-with sensor network lifetime maximization using a three prong strategy: splitting source coded video into prioritized streams, use path diversity to route video packets and partially and progressively decode the data packets as they traverse the multi-hop network. Further intrigued by quality enhancement for received video, we apply our proposed framework to an actual video sequence and compare the benefits that can be achieved using multipath multi-stream distributed reliability (MMDR) framework that we propose. We show that with little bit of processing within the network, significant enhancements in quality of video can be achieved for same level of energy spent to deliver video over the end-to-end path. We propose selective budgeting of network energy resources for processing within the network. We use low density parity check (LDPC) codes for channel coding the video sensor data. We show that the proposed architecture outperforms prevalent end-to-end channel coding schemes by considerable margins. Further, based on the results achieved, we discuss the associated rate-distortion tradeoffs in design of video sensor networks.
机译:由于各个传感器节点所呈现的独特能量限制,因此在无线传感器网络(WSN)上可靠地传输捕获的视频内容会带来一些挑战。视频内容的性质和数量是另一个使WSN数据可靠性问题更加复杂的挑战。受上述因素的影响,在这项工作中,我们提出了一种体系结构,该体系结构有望通过以下三种策略来提高接收视频的质量以及传感器网络的使用寿命:将源编码视频分为优先流,使用路径分集来路由视频数据包和在数据包穿越多跳网络时对数据包进行部分和逐步解码。通过对接收视频的质量增强的进一步吸引,我们将我们提出的框架应用于实际的视频序列,并比较了我们提出的使用多路径多流分布式可靠性(MMDR)框架可以实现的好处。我们表明,只需在网络内进行少量处理,就可以在通过端到端路径传输视频的相同能量水平下实现视频质量的显着提高。我们建议对网络能源进行选择性预算,以便在网络内进行处理。我们使用低密度奇偶校验(LDPC)码对视频传感器数据进行通道编码。我们表明,提出的体系结构比相当普遍的端到端信道编码方案要好得多。此外,基于获得的结果,我们讨论了视频传感器网络设计中的相关速率失真权衡。

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