CC* Integration: End-to-End Software-Defined Cyberinfrastruture for Smart Agriculture and Transportation

CC* 集成：用于智能农业和交通的端到端软件定义网络基础设施

• 批准号: 1827211
• 负责人: Hongwei Zhang
• 金额: $ 99.99万
• 依托单位: Iowa State University
• 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=1827211&HistoricalAwards=false
• 关键词: CC; Integration; End; Software; Defined

Imaging and other sensor-based understanding of plant behavior is becoming keyto new discoveries in plant genotypes leading to more productive and environment-friendly farming.Similarly, distributed sensing is seen as a key component of a safe, efficient, and sustainable autonomous transportation systems.Existing research and education in agriculture and transportation systems are constrained by the lack of connectivity between field-deployed testbed equipment and computing infrastructure. To realize that connectivity, this project proposes to deploy CyNet wireless networks toconnect experimental science testbeds to high-performance cloud computing infrastructures.The CyNet project will:1) deploy Predictable, Reliable, Real-time, and high-Throughput (PRRT) wireless networking solutions using the standards-compliant, open-source Open Air Interface software framework and commodity Universal Software Radio Peripheral (USRP) hardware;2) integrate these wireless networks with software defined networks to seamlessly integrate outdoor cameras, sensors, and autonomous vehicles, and connect these components to high performance cloud computing systems;3) implement an infrastructure virtualization system that partitions CyNet into programmable, isolated experiments; and4) create an infrastructure management system that performs admission and access control and establishes specified resource allocation policies.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.

对植物行为的成像和其他基于传感器的理解正在成为植物基因型新发现的关键，从而提高生产力和环境友好型农业。同样，分布式传感被视为安全、高效和可持续的自主运输系统的关键组成部分。农业和运输系统中现有的研究和教育受到现场部署的测试台设备和计算基础设施之间缺乏连接的限制。为了实现这种连接，该项目建议部署 CyNet 无线网络，将实验科学测试台连接到高性能云计算基础设施。CyNet 项目将：1) 部署可预测、可靠、实时和高吞吐量 (PRRT) 无线网络使用符合标准的开源开放空中接口软件框架和商用通用软件无线电外围设备 (USRP) 硬件的解决方案；2) 将这些无线网络与软件定义的网络集成，以无缝集成室外摄像头、传感器和自动驾驶车辆，以及将这些组件连接到高性能云计算系统；3) 实施基础设施虚拟化系统，将 CyNet 划分为可编程的、隔离的实验； 4) 创建一个基础设施管理系统，执行准入和访问控制，并建立指定的资源分配政策。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Analysis of Joint Scheduling and Power Control for Predictable URLLC in Industrial Wireless Networks

工业无线网络中可预测 URLLC 的联合调度和功率控制分析

• 发表时间: 2019-01
• 期刊: IEEE International Conference on Industrial Internet (ICII
• 作者: Wang, Ling;Zhang, Hongwei
• 通讯作者: Zhang, Hongwei

Interference and Coverage Analysis of mmWave Inter-Vehicle Broadcast with Directional Antennas

定向天线毫米波车间广播干扰与覆盖分析

• DOI: 10.1109/icc45855.2022.9838709
• 发表时间: 2021-12-21
• 期刊: ICC 2022 - IEEE International Conference on Communications
• 作者: Tianyi Zhang;Hongwei Zhang;Zhibo Meng
• 通讯作者: Zhibo Meng

Integrated Access and Backhauling with Energy Harvesting and Dynamic Sleeping in HetNets

HetNet 中的集成接入和回程以及能量收集和动态休眠

• DOI: 10.1109/icc42927.2021.9500432
• 发表时间: 2021-06-01
• 期刊: ICC 2021 - IEEE International Conference on Communications
• 作者: Abdullah Mohammed Alqasir;Khalid Aldubaikhy;A. Kamal
• 通讯作者: A. Kamal

Look-Ahead and Learning Approaches for Energy Harvesting Communications Systems

能量收集通信系统的前瞻和学习方法

• DOI: 10.1109/tgcn.2019.2953644
• 发表时间: 2020-03
• 期刊: IEEE Transactions on Green Communications and Networking
• 影响因子: 4.8
• 作者: Masadeh, Ala'eddin;Wang, Zhengdao;Kamal, Ahmed E.
• 通讯作者: Kamal, Ahmed E.

Wireless-Powered Machine-to-Machine Multicasting in Cellular Networks

蜂窝网络中无线供电的机器对机器多播

• DOI: 10.1109/tgcn.2020.2986216
• 发表时间: 2020-04-08
• 期刊: IEEE Transactions on Green Communications and Networking
• 影响因子: 4.8
• 作者: A. Almasoud;A. Kamal
• 通讯作者: A. Kamal