CAREER: Taming Uncertainties in Reliable, Real-Time Messaging for Wireless Networked Sensing and Control

职业：克服无线网络传感和控制的可靠实时消息传递的不确定性

基本信息

批准号：
1821736
负责人：
Hongwei Zhang
金额：
$ 7.92万
依托单位：
Iowa State University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-01 至 2018-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1821736&HistoricalAwards=false
关键词：
CAREER Taming Uncertainties Reliable Real

项目摘要

Message passing in wireless networked sensing and control systems must be reliable and in real-time. Such design challenges require new models and distributed protocols for messaging that can handle interference locally and accurately, given the basic problem of computing probabilistic path delays is NP-hard. Focusing on single-hop transmission scheduling and multi-hop spatio-temporal data flow control, this project makes novel contributions by proposing two major research tasks: 1) investigation of control-theoretic approaches to online model instantiation, based on the physical-ratio-K (PRK) interference model, and addressing the challenges of large interference range as well as anisotropic, asymmetric wireless communication; 2) developing a lightweight approach to computing probabilistic path delays followed by a multi-timescale adaptation framework for real-time messaging. In particular, the PRK interference model integrates protocol model's locality with physical model's high-fidelity, thus bridging the gap between the suitability for distributed implementation and the enabled scheduling performance. By controlling network operations at the same timescale as the corresponding dynamics, the proposed multi-timescale adaptation framework ensures long-term optimality while simultaneously addressing short-term dynamics. Additionally, this project includes an integrated, multi-level, multi-component education plan. The education activities will raise public awareness, improve student retention and participation of underrepresented groups in computing.

无线网络传感和控制系统中的消息传递必须可靠且实时。鉴于计算概率路径延迟的基本问题是 NP 困难的，此类设计挑战需要新的消息传递模型和分布式协议，能够在本地准确地处理干扰。该项目重点关注单跳传输调度和多跳时空数据流控制，提出了两项主要研究任务，做出了新颖的贡献：1）基于物理比的在线模型实例化控制理论方法的研究。 K（PRK）干扰模型，解决大干扰范围以及各向异性、非对称无线通信的挑战； 2）开发一种轻量级方法来计算概率路径延迟，然后是用于实时消息传递的多时间尺度适应框架。特别是，PRK干扰模型将协议模型的局部性和物理模型的高保真度相结合，从而弥补了分布式实现的适用性和所实现的调度性能之间的差距。通过在与相应动态相同的时间尺度上控制网络操作，所提出的多时间尺度自适应框架确保长期最优性，同时解决短期动态。此外，该项目还包括一个综合、多层次、多组成部分的教育计划。这些教育活动将提高公众意识、提高学生保留率以及计算机领域代表性不足群体的参与度。