US Ignite: Collaborative Research: Focus Area 1: Rapid and Resilient Critical Data Sourcing for Public Safety and Emergency Response

US Ignite：合作研究：重点领域 1：公共安全和应急响应的快速且有弹性的关键数据采购

• 批准号: 1647189
• 负责人: Murat Yuksel
• 金额: $ 22万
• 依托单位: The University of Central Florida Board of Trustees
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-02-01 至 2022-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1647189&HistoricalAwards=false
• 关键词: US; Ignite; Collaborative; Research; Focus

In public safety and emergency response, the key for a successful recovery is on-time and reliable communication between the people reporting the incident and the emergency management authorities. Such capability should further be coupled with rapid collection of eyewitness data for successful investigation of criminals or root causes of the incident. Recently, crowd sourcing applications have proven to be promising tools to gather information with tremendous participation from the crowd. In emergency scenarios, however, such crowd sourcing solutions should be robust and resilient as the network could be congested or the underlying cellular infrastructure is damaged or temporarily lost. Moreover, an agile analysis of the massive amount of data collected should be supported with necessary equipment so that time-sensitive feedback could be provided and shared between different agencies. This project addresses these challenges by introducing a novel framework that integrates various technologies and tools for modeling and operation of large-scale crowd sourcing-based emergency response systems.The project enhances the current systems by integrating a cloud-based rapid processing of collected data and augmenting the system by device-to-device (D2D) communications and network slicing. The project's integrated research and education plan investigates (i) large-scale critical data collection via a mobile app and management process to be used in the investigation of an emergency incident, (ii) near-real-time processing of the gathered heterogeneous data in a cloud computing environment for critical information extraction such as faces of people in the videos and photos, (iii) adoption of D2D-based communication as a complementary component to improve system resilience in case of congestion's and failures in network infrastructure, and (iv) utilization of Global Environment for Network Innovations (GENI) network slices as dedicated bandwidth for time-sensitive communication in emergency response as well as to enhance wide area resilience of the system. The project paves the way towards emergency preparedness which is a national priority; and supports progress toward smart and connected communities. The anticipated enhancements expedite the response to emergency cases, save people's lives and reduce public safety operation costs.

在公共安全和紧急响应中，成功恢复的关键是报告事件的人与紧急管理当局之间的可靠沟通。这种能力应与快速收集的目击者数据相结合，以成功调查罪犯或事件的根本原因。最近，事实证明，人群采购应用程序是有希望的工具，可以在人群中大量参与中收集信息。然而，在紧急情况下，这种人群采购解决方案应该具有稳健性和弹性，因为网络可能会被拥挤，否则下层的蜂窝基础设施受到损害或暂时丢失。此外，应使用必要的设备对收集的大量数据进行敏捷分析，以便可以在不同机构之间提供时间敏感的反馈并共享。该项目通过引入一个新颖的框架来解决这些挑战，该框架集成了各种技术和工具，用于建模基于大规模的群体基于群的紧急响应系统。该项目通过集成了基于云的基于云的数据来增强当前系统，并通过设备到设备到启动（D2D）通信和网络切片进行集成了基于云的快速处理系统。 The project's integrated research and education plan investigates (i) large-scale critical data collection via a mobile app and management process to be used in the investigation of an emergency incident, (ii) near-real-time processing of the gathered heterogeneous data in a cloud computing environment for critical information extraction such as faces of people in the videos and photos, (iii) adoption of D2D-based communication as a complementary component to improve system resilience in case of congestion's and failures在网络基础架构和（iv）将全球环境用于网络创新（GENI）网络切片中的利用中，作为在紧急响应中对时间敏感的沟通的专用带宽，并增强了系统的广泛区域弹性。该项目铺平了朝着紧急准备的道路，这是国家优先事项；并支持朝着聪明和互联社区的进步。预期的增强能够加快对紧急情况的反应，挽救人们的生命并降低公共安全行动成本。

项目成果

Asynchronous LOS Discovery Algorithm for Aerial Nodes Using In-band Full-Duplex Transceivers

使用带内全双工收发器的空中节点异步 LOS 发现算法

• DOI: 10.1145/3360468.3366777
• 发表时间: 2019
• 期刊: Proceedings of ACM CoNEXT Student Workshop
• 作者: Haq, A. F.;Khan, Mahmudur;Yuksel, Murat
• 通讯作者: Yuksel, Murat

A Distributed SDN Application for Cross-Institution Data Access

• DOI: 10.1109/icccn.2019.8846921
• 发表时间: 2019-07
• 期刊: 2019 28th International Conference on Computer Communication and Networks (ICCCN)
• 作者: Shafaq Chaudhry;E. Bulut;M. Yuksel

Trajectory Optimization for Multiple UAVs Acting as Wireless Relays

• DOI: 10.1109/iccw.2018.8403637
• 发表时间: 2018-05
• 期刊: 2018 IEEE International Conference on Communications Workshops (ICC Workshops)
• 作者: Ahmad Alsharoa;Hakim Ghazzai;M. Yuksel;A. Kadri;A. Kamal

Optimizing Flow Idle Timer in Reactive SDN

优化反应式 SDN 中的流空闲计时器

• DOI: 10.1109/nfv-sdn53031.2021.9665124
• 发表时间: 2021
• 期刊: Proceedings of IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN
• 作者: Panda, Gopinath;Chaudhry, Shafaq;Yuksel, Murat
• 通讯作者: Yuksel, Murat

Examining the Security of DDoS Detection Systems in Software Defined Networks

检查软件定义网络中 DDoS 检测系统的安全性

• DOI: 10.1145/3360468.3368174
• 发表时间: 2019
• 期刊: Proceedings of ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT
• 作者: Abusnaina, Ahmed;Nyang, DaeHun;Yuksel, Murat;Mohaisen, Aziz
• 通讯作者: Mohaisen, Aziz