US Ignite: Collaborative Research: Focus Area 1: Rapid and Resilient Critical Data Sourcing for Public Safety and Emergency Response
US Ignite: Collaborative Research: Focus Area 1: Rapid and Resilient Critical Data Sourcing for Public Safety and Emergency Response
批准号:
1647217
负责人:
Eyuphan Bulut
金额:
$38.0万
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
项目状态:
已结题
起止时间:
2017-02-01 至 2021-01-31
中文摘要
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英文摘要
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.
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DOI:
10.1109/access.2021.3064819
发表时间:
2021-01-01
期刊:
IEEE ACCESS
影响因子:
3.9
作者:
[Wickramasinghe, Chathurika S., Marino, Daniel L., Manic, Milos]
通讯作者:
Manic, Milos
DOI:
10.1016/j.comnet.2020.107156
发表时间:
2020-05
期刊:
Comput. Networks
影响因子:
--
作者:
[F. Yucel;E. Bulut]
通讯作者:
F. Yucel;E. Bulut
DOI:
10.1109/globecom38437.2019.9014073
发表时间:
2019-12
期刊:
2019 IEEE Global Communications Conference (GLOBECOM)
影响因子:
--
作者:
[Aashish Dhungana;E. Bulut]
通讯作者:
Aashish Dhungana;E. Bulut
Trajectory Optimization in UAV-Assisted Cellular Networks under Mission Duration Constraint
任务持续时间约束下无人机辅助蜂窝网络的轨迹优化
DOI:
10.1109/rws.2019.8714567
发表时间:
2019
期刊:
2019 IEEE Radio and Wireless Symposium (RWS
影响因子:
--
作者:
[Chowdhury, Md Moin, Bulut, Eyuphan, Guvenc, Ismail]
通讯作者:
Guvenc, Ismail
Charging Skip Optimization with Peer-to-Peer Wireless Energy Sharing in Mobile Networks
移动网络中点对点无线能量共享的充电跳过优化
DOI:
10.1109/icc.2018.8422711
发表时间:
2018
期刊:
2018 IEEE International Conference on Communications (ICC
影响因子:
--
作者:
[Dhungana, Aashish, Arodz, Tomasz, Bulut, Eyuphan]
通讯作者:
Bulut, Eyuphan
共 26 条
NeTS: Small: Collaborative Research: Improving Spectrum Efficiency for Hyper-Dense IoT Networks
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批准号:1815603
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项目类别:Standard Grant
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资助金额:$16.25万
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财政年份:2018
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负责人:Eyuphan Bulut
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依托单位:
海外基金