EAGER: Systems of Holographic Optical Tags for Scalable and Collaborative Mobile Infrastructures

EAGER：用于可扩展和协作移动基础设施的全息光学标签系统

• 批准号: 2226888
• 负责人: Matt Mutka
• 金额: $ 30万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-15 至 2025-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2226888&HistoricalAwards=false
• 关键词: EAGER; Systems; Holographic; Optical; Tags

Mobile systems benefit from infrastructures that enable safe, reliable, and scalable mobility. Within vehicular mobile systems, much research has considered communication and system technologies in which vehicles collaborate to share location and route planning information. These systems have strict constraints for delay and reliability. The communication networks of the mobile systems typically rely upon radio frequency-based approaches. Radio frequency networks have limitations regarding high energy consumption, transmission rates, and security attacks. To overcome these limitations, innovative optical wireless communication (OWC) approaches have been introduced. OWC approaches show promise due to their potential high data rates and range, security advantages, and low cost, delay, and power consumption. However, most existing OWC-based techniques for vehicular mobile system enable communication only in a single direction. This reduces the communication field of view and therefore the ability to share location and route planning information in a mobile system. The project’s novelties are to explore new OWC-based techniques to improve capabilities for communication in multiple directions at high data rates and provide techniques for accurate positioning of mobile nodes to support scalable and collaborative mobile systems. The project's broader significance and importance are improving the capabilities of traffic control, and the collaboration of robots, drones, and mobile vehicular systems. The objective of this project is to support reliable and scalable collaborative communication and localization for mobile systems via OWC-based technologies with three research components: (1) holographic optical tag design to enable smart collaboration among mobile nodes for improved performance, such as more accurate positioning, better decoding, full directional communication and higher throughput; (2) distributed mobile localization via collaboration of low-cost holographic optical tags to support real-time, dynamic, and scalable distributed systems for mobile localization; and (3) lightweight middleware design for multi-to-multi networking to provide full direction instead of monodirectional communication and to form dynamic multi-to-multi mobile networks.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.

移动的系统受益于支持安全、可靠和可扩展移动性的基础设施。在车辆移动的系统内，许多研究已经考虑了通信和系统技术，其中车辆协作以共享位置和路线规划信息。 这些系统对时延和可靠性有严格的约束。 移动的系统的通信网络通常依赖于基于射频的方法。 射频网络在高能耗、传输速率和安全攻击方面存在局限性。为了克服这些限制，已经引入了创新的光无线通信（OWC）方法。 OWC方法由于其潜在的高数据速率和范围、安全优势以及低成本、延迟和功耗而显示出前景。然而，大多数现有的基于OWC的车载移动的系统的技术只能实现单向通信。 这减小了通信视场，并因此减小了在移动的系统中共享位置和路线规划信息的能力。 该项目的创新之处在于探索新的基于OWC的技术，以提高高数据速率下多方向通信的能力，并提供移动的节点精确定位技术，以支持可扩展和协作的移动的系统。 该项目更广泛的意义和重要性是提高交通控制的能力，以及机器人、无人机和移动的车辆系统的协作。本项目的目标是通过基于OWC的技术为移动的系统提供可靠的、可扩展的协作通信和定位支持，研究内容包括三个方面：（1）全息光学标签设计，使移动的节点之间能够智能协作，以提高性能，如更精确的定位、更好的解码、全方向通信和更高的吞吐量;（2）通过低成本全息光学标签的协作的分布式移动的定位，以支持用于移动的定位的实时、动态和可扩展的分布式系统;（3）面向多对多的轻量级中间件设计多网络提供全方向而不是单向通信，并形成动态的多对多移动的网络。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查进行评估，被认为值得支持的搜索.

项目成果

Exploring Rolling Shutter Effect for Motion Tracking with Objective Identification

探索具有目标识别的运动跟踪的滚动快门效果

• DOI: 10.1145/3560905.3568063
• 发表时间: 2022
• 期刊: The 20th ACM Conference on Embedded Networked Sensor Systems (SenSys 2022
• 作者: Zhang, Xiao;Klevering, Griffin;Xiao, Li
• 通讯作者: Xiao, Li

LiFOD: Lighting Extra Data via Fine-grained OWC Dimming

LiFOD：通过细粒度 OWC 调光照明额外数据

• DOI: 10.1109/secon55815.2022.9918579
• 发表时间: 2022
• 期刊: and Networking
• 作者: Zhang, Xiao;Mariani, James;Xiao, Li;Mutka, Matt W.
• 通讯作者: Mutka, Matt W.

U-star: an underwater navigation system based on passive 3D optical identification tags

• DOI: 10.1145/3495243.3517019
• 发表时间: 2022-10
• 期刊: Proceedings of the 28th Annual International Conference on Mobile Computing And Networking
• 作者: Xiao Zhang;Hanqing Guo;James Mariani;Li Xiao