CIF: Small: Sensors That Make Sense: Peak-Power, Energy, and Delay Constrained Networks

CIF：小型：有意义的传感器：峰值功率、能量和延迟受限网络

• 批准号: 1423570
• 负责人: Ertem Tuncel
• 金额: $ 28.07万
• 依托单位: University of California-Riverside
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-10-01 至 2017-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1423570&HistoricalAwards=false
• 关键词: CIF; Small; Sensors; Make; Sense

Sensors are becoming omnipresent. A wide range of applications such as environmental monitoring, smart metering, and remote monitoring of roads are already making an extensive use of the sensor technology to measure and transmit a diverse set of physical signals over noisy wireless channels. Over the next decade, the number of machines and sensors connected to the Internet is expected to explode, creating the so called Internet of Things (IoT). It is foreseen that a significant portion of the quintillions of bytes of data that will be generated every day by IoT will be processed and transmitted using complexity, power, and energy constrained sensor nodes. For the sake of mathematical analysis, these practical constraints are usually relaxed or completely ignored, thereby simplifying the problem at hand, sometimes even to the extent that allows one to obtain closed-form solutions. The main goal of this research project is to question such simplifications commonly made among information/communication theory researchers, and to try to formulate more practically relevant problems which can still be analyzed rigorously.The practical constraints above will be solidified as zero-delay, peak-power-limited, and energy-distortion frameworks and combinations thereof in a multi-user joint source-channel coding setting. Preliminary analyses demonstrate that the solutions to the communication problems in these frameworks are significantly different from their counterparts in the classical infinite-delay average power-distortion framework. More specifically, the best known coding schemes in the classical framework become either provably suboptimal or not applicable at all. This research project will strive for complete characterizations of fundamental limits of communication under the aforementioned practical constraints.

传感器正在变得无处不在。环境监测，智能计量和对道路的远程监控等广泛的应用已经广泛使用传感器技术，以测量和传输各种物理信号，这是在嘈杂的无线通道上。在接下来的十年中，与Internet连接的机器和传感器数量有望爆炸，创建所谓的物联网（IoT）。可以预见的是，每天都会通过复杂性，功率和能量约束的传感器节点来处理和传输的大量数据中的很大一部分。为了进行数学分析，这些实际的约束通常被放松或完全忽略，从而简化了手头的问题，有时甚至在允许人们获得封闭形式的解决方案的程度上。该研究项目的主要目的是质疑信息/通信理论研究人员通常进行的简化，并试图提出更实际的相关问题，这些问题仍然可以进行严格的分析。上面的实际约束将被巩固为零层次，较高的峰值，峰值限制，能量限制，能量限制框架和组合，并在多层源源源源代码元素编码中。初步分析表明，这些框架中通信问题的解决方案与经典无限 - 延迟平均电力延续框架中的交流问题有显着不同。更具体地说，经典框架中最著名的编码方案可能是次优或根本不适用的。该研究项目将努力在上述实际限制下完全表征基本沟通的基本限制。