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

NeTS：小型：通过压缩视频流实现无处不在的多媒体传感

• 批准号: 1117121
• 负责人: Dimitris Pados
• 金额: $ 45万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1117121&HistoricalAwards=false
• 关键词: NeTS; Small; Towards; Ubiquitous; Multimedia

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.

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，但在资源受限设备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，并且在很大程度上未被探索。现有的基于传输预测编码视频的无线联网协议栈在计算上是昂贵的，对无线信道错误具有有限的弹性，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，基于：（a）基于压缩感知（CS）理论和（B）视频编码器和关键无线网络功能的协同设计/优化，为资源受限的设备开发一种新的无线流媒体框架。正在开发的新的联网无线流传输系统被称为压缩视频流传输（CVS），并且对于资源受限的传感设备，对于给定的目标视频质量，具有显著降低功耗的潜力。新的网络控制算法的设计和集成的视频编码器，不同的TCP和TCP友好的方法，使用估计接收的视频质量作为资源分配决策的基础。项目的实施和广泛的测试正在几个实验平台上进行，所开发的技术有可能对资源受限的无线视频传感器网络的最新技术产生重大影响。该计划的重要教育目标包括指导少数民族研究生和本科生，以及开发新的跨学科课程材料。