Non-Ergodic Wireless Sensing: Fundamental Tradeoffs and Optimal Transmission Schemes

非遍历无线传感：基本权衡和最佳传输方案

• 批准号: 1659025
• 负责人: Shuguang Cui
• 金额: $ 29.67万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2019-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1659025&HistoricalAwards=false
• 关键词: Non; Ergodic; Wireless; Sensing; Fundamental

As an essential element in the future information infrastructure, wireless sensing systems have motivated a huge amount of research interests in the community. Such efforts are critical to building the bridge between the physical world and the cyber world, where physical system parameters such as voltage/current levels in a power grid, temperature/humidity levels over a farming field, and stress levels across a bridge could be collected and processed for automatic cyber control. However, it is still an open problem on how to find the optimal way of conveying information over such sensor networks, since there is a lack of well-defined optimality criteria for end-to-end information collection, transmission, and processing. In this project, the PI first proposes new optimality criteria based on novel network-wise multiplexing diversity tradeoff analysis, then studies the efficient information transmission and processing schemes, with special considerations on network non-ergodicity in hostile application environments. The proposed research will have great multi-fold impacts on our society. The sensing system design results will enable various key applications such as complex cyber-physical system monitoring and large-scale real-time environment surveillance. The fundamental performance analysis developed for sensor networks could also be applied to other types of networks beyond the sensing applications. The proposed program will broaden the education scope in the society by providing training to students, enhancing school curriculum, holding regular seminars, posting results on the project website, and presenting papers in technical conferences. It will also emphasize the outreaches to women and under-represented groups.Specifically, in this program, the PI starts by addressing one fundamental problem in wireless sensing system design: Given M unknown entities (sources) to sense by a network of N wireless sensing nodes operating with certain resources in power, time, frequency, and space, what the fundamental tradeoffs will be among the supportable M, the achievable end-to-end reliability, and the required network resources. Non-ergodic random communication channels and non-ergodic random node losses are jointly considered. Both cases of correlated and uncorrelated sources are thoroughly studied. Motivated by the multiplexing and diversity tradeoff result in multi-antenna transmission systems, the concept of multiplexing and diversity tradeoff is redefined as the optimality criteria in the distributed sensor network context. The emphasis of this project is quantifying the fundamental achievable tradeoffs among various entities of interest, and proposing efficient information transmission and processing schemes to achieve some particular operation points on the optimal tradeoff curves, with special considerations over the non-ergodic natures of random sensor networks in various applications. The deliverables include basic theories, performance bounds, and optimal sensing schemes. The intellectual merits lie in the systematic treatment over core design issues in wireless sensing systems operating for applications with non-ergodic network randomness. Transformative new concepts based on estimation/detection outage and estimation/detection diversity are thoroughly investigated and generalized to cases involving correlated sources, multi-hop networks, and multiple fusion centers.

无线传感系统作为未来信息基础设施的重要组成部分，引起了社会各界的广泛研究兴趣。这些努力对于在物理世界和网络世界之间建立桥梁至关重要，在网络世界中，可以收集和处理物理系统参数，例如电网中的电压/电流水平，农田上的温度/湿度水平以及桥梁上的应力水平，以进行自动网络控制。然而，它仍然是一个悬而未决的问题，如何找到最佳的方式来传递信息在这样的传感器网络，因为有一个端到端的信息收集，传输和处理缺乏定义良好的最优性标准。在这个项目中，PI首先提出了新的最优性准则的基础上新的网络明智的复用分集权衡分析，然后研究了有效的信息传输和处理方案，特别考虑到网络的非遍历性在恶劣的应用环境。这项研究将对我们的社会产生多方面的影响。传感系统设计结果将使各种关键应用成为可能，例如复杂的网络物理系统监控和大规模实时环境监控。为传感器网络开发的基本性能分析也可以应用于传感应用之外的其他类型的网络。拟议的方案将通过向学生提供培训、加强学校课程、定期举办研讨会、在项目网站上公布结果以及在技术会议上提交论文等方式扩大社会教育范围。它还将强调对妇女和代表性不足的群体的外展。具体来说，在这个项目中，PI首先解决无线传感系统设计中的一个基本问题：给定M个未知实体（源）以通过利用功率、时间、频率和空间中的某些资源进行操作的N个无线感测节点的网络进行感测，在可支持的M、可实现的端到端可靠性和所需的网络资源。非遍历随机通信信道和非遍历随机节点损失被联合考虑。这两种情况下的相关和不相关的来源进行了深入研究。受多天线传输系统中复用和分集折衷的影响，本文将复用和分集折衷的概念重新定义为分布式传感器网络中的最优性准则。该项目的重点是量化各种感兴趣的实体之间的基本可实现的权衡，并提出有效的信息传输和处理方案，以实现最佳权衡曲线上的一些特定的操作点，特别考虑在各种应用中的随机传感器网络的非遍历性质。可交付成果包括基本理论、性能界限和最佳传感方案。智能的优点在于在无线传感系统的核心设计问题的系统处理与非遍历网络随机性的应用程序。基于估计/检测中断和估计/检测分集的变革性新概念进行了深入研究，并推广到涉及相关源，多跳网络和多个融合中心的情况下。