NeTS: Small: Towards Ubiquitous Multimedia Sensing through Compressive Video Streaming

虽然近年来在解决众多无线传感器网络挑战方面取得了进展，但在资源受限的大规模无线网络中实现实时质量感知视频流的关键问题仍然是开放的，在很大程度上还没有被探索。基于传输预测编码视频的现有无线联网协议栈计算昂贵，对无线信道差错的恢复能力有限，并且低效地使用可用的网络资源。该项目正在尝试一种新的方法，其基础是：(A)基于压缩感知(CS)理论，为资源受限设备开发一种新的无线流传输框架；(B)共同设计/优化视频编码器和关键的无线网络功能。正在开发的新的网络无线流传输系统被称为压缩视频流(CVS)，对于资源受限的传感设备，该系统具有显著降低给定目标视频质量的功耗的潜力。设计了新的网络控制算法，并将其与视频编码器集成在一起，与TCP和TCP友好的方法不同，视频编码器使用估计的接收视频质量作为资源分配决策的基础。项目实施和广泛的测试正在几个实验平台上进行。即将开发的技术可能会对资源受限的无线视频传感器网络的技术水平产生强烈的影响。该计划的重要教育目标包括指导少数族裔研究生和本科生，以及开发新的跨学科课程材料。

While there has been progress in recent years in solving numerous wireless sensor networking challenges, the key problem of enabling real-time quality-aware video streaming in large-scale wireless networks of resource-constrained devices is still open and largely unexplored. Existing wireless networking protocol stacks based on transmitting predictively-encoded video are computationally expensive, have limited resilience to wireless channel errors, and use available network resources inefficiently. This project is attempting a new approach based: (a) On the development of a novel wireless streaming framework for resource-constrained devices rooted in the theory of compressed sensing (CS) and (b) co-design/optimization of the video encoder and key wireless networking functionalities. The new networked wireless streaming system being developed is referred to as Compressive Video Streaming (CVS) and has the potential to significantly reduce power consumption for a given target video quality for resource-constrained sensing devices. New network control algorithms are designed and integrated with the video encoder that, unlike TCP and TCP-friendly approaches, use the estimated received video quality as the basis for resource allocation decisions. Project implementation and extensive testing is being carried out on several experimental platforms.The technology to be developed has the potential to strongly impact the state of the art in resource-constrained wireless video sensor networks. Important educational objectives of the program include mentoring of minority graduate and undergraduate students, and development of new interdisciplinary course materials.