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NeTS: Small: Fundamentals of Assessing Occupancy Dynamics with Ubiquitous Wireless Signals

NetS：小型：利用无处不在的无线信号评估占用动态的基础

基本信息

批准号：
1816931
负责人：
Yasamin Mostofi
金额：
$ 50万
依托单位：
University of California-Santa Barbara
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-10-01 至 2022-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1816931&HistoricalAwards=false
关键词：
NeTS Small Fundamentals Assessing Occupancy

项目摘要

Robust and accurate occupancy assessment is key to many applications. Optimization of heating/cooling in buildings, smart lighting, retail business planning, smart home applications, smart city planning, and evacuation/emergency planning are just a few examples. The overall goal of this proposal is to introduce a new paradigm for occupancy assessment using ubiquitous wireless signals. Not only are communication devices ubiquitous these days, but most smart devices whose main goal is not communication (e.g., smart speakers or thermostats) are now equipped with communication capabilities using cheap communication transceivers such as Wi-Fi or Bluetooth. This opens the possibility of using RF (Radio Frequency) signals for sensing and learning about the environment. This project proposes to use wireless links in a non-traditional manner: as a sensing mechanism for assessing the spatio-temporal occupancy dynamics in a large region. Spatio-temporal occupancy assessment refers to measuring several attributes of how people move and utilize their spaces, such as the total number of occupants in an area as a function of time, the average speed and dwell time of people, and the flow rate of people in between several areas, among other factors. More specifically, the project will develop the theoretical foundation and design tools for occupancy assessment with ubiquitous RF signals, with an emphasis on understanding the fundamental capabilities and limitations. The proposed framework does not rely on people to carry any device, has through-wall sensing capabilities, and preserves the privacy.Accurate and robust occupancy assessment with everyday communication signals is considerably challenging. The proposed effort has three major tasks to address the underlying challenges. The first major goal brings a foundational understanding to how a single link can be turned into an occupancy assessment sensor whose capabilities and limitations are well characterized. More specifically, it proposes a mathematical probabilistic modeling that reveals the relationship between the key attributes of occupancy dynamics and the key attributes of the wireless measurements. The second major task then builds on the first one to develop the foundation of optimum joint processing of a number of links as an occupancy assessment sensor network. The third major task develops the mathematical tools for designing an efficient occupancy assessment system over a large region that consists of several areas, with only a small number of wireless links. Finally, the proposed theoretical foundation and design tools are extensively tested with several experiments in different areas, including local department stores.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

可靠和准确的占用评估是许多应用的关键。建筑物的加热/冷却优化、智能照明、零售业务规划、智能家居应用、智能城市规划和疏散/应急规划只是其中的几个例子。该提案的总体目标是引入一种使用无处不在的无线信号进行占用评估的新范例。如今，不仅通信设备无处不在，而且主要目标不是通信的大多数智能设备（例如，智能扬声器或恒温器）现在配备有使用诸如Wi-Fi或蓝牙的廉价通信收发器的通信能力。这开启了使用RF（射频）信号来感知和了解环境的可能性。该项目提出以非传统的方式使用无线链路：作为一种传感机制，用于评估大区域的时空占用动态。时空占用评估是指测量人们如何移动和利用他们的空间的几个属性，例如作为时间函数的区域中的占用者总数，人们的平均速度和停留时间，以及几个区域之间的人的流量等因素。更具体地说，该项目将开发利用无处不在的RF信号进行占用评估的理论基础和设计工具，重点是了解基本能力和限制。所提出的框架不依赖于人们携带任何设备，具有穿墙传感能力，并保护隐私。准确和强大的占用评估与日常通信信号是相当具有挑战性的。拟议的努力有三项主要任务来应对根本挑战。第一个主要目标是对如何将单个链路转变为占用评估传感器的能力和局限性进行充分表征的基本理解。更具体地说，它提出了一个数学概率建模，揭示了占用动态的关键属性和无线测量的关键属性之间的关系。第二个主要任务，然后建立在第一个开发的基础上的最佳联合处理的一些链接作为占用评估传感器网络。第三个主要任务是开发数学工具，用于在由几个区域组成的大区域内设计一个有效的占用评估系统，只有少量的无线链路。最后，建议的理论基础和设计工具进行了广泛的测试，在不同领域的几个实验，包括当地的百货公司。这个奖项反映了NSF的法定使命，并已被认为是值得通过评估使用基金会的智力价值和更广泛的影响审查标准的支持。

项目成果

期刊论文数量（7）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Teaching RF to Sense without RF Training Measurements

DOI：
10.1145/3432224
发表时间：
2020-12
期刊：
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
影响因子：
0
作者：
H. Cai;Belal Korany;Chitra R. Karanam;Yasamin Mostofi
通讯作者：
H. Cai;Belal Korany;Chitra R. Karanam;Yasamin Mostofi

Passive Crowd Speed Estimation in Adjacent Regions With Minimal WiFi Sensing