CPS: Synergy: Collaborative Research: DEUS: Distributed, Efficient, Ubiquitous and Secure Data Delivery Using Autonomous Underwater Vehicles
CPS: Synergy: Collaborative Research: DEUS: Distributed, Efficient, Ubiquitous and Secure Data Delivery Using Autonomous Underwater Vehicles
批准号:
1646607
负责人:
Miao Pan
金额:
$60.0万
依托单位:
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:
2017-01-01 至 2020-12-31
中文摘要
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英文摘要
Ocean Big Data (OBD) is an emerging area of research that benefits ocean environmental monitoring, offshore exploration, disaster prevention, and military surveillance. It is now affordable for oil and gas companies, fishing industry, militaries, and marine researchers to deploy physical undersea sensor systems to obtain strategic advantages. However, these sensing activities are scattered, isolated, and often follow the traditional "deploy, wait, retrieve, and post-process" routine. Since transmitting information underwater remains difficult and unreliable, these sensors lack a cyber interconnection, which severely limits ocean cyber-physical systems. This project aims to providing a viable cyber interconnection scheme that enables distributed, efficient, ubiquitous, and secure (DEUS) data delivery from underwater sensors to the surface station. The proposed cyber interconnection scheme features cheap underwater sensor nodes with energy harvesting capability, a fleet of autonomous underwater vehicles (AUVs) for information ferrying, advanced magnetic-induction (MI) antenna design using ferrite material, distributed algorithms for efficient data collection via AUVs, and secure data delivery protocols. The success of this project will help push the frontier of Internet of Things in Oceans (IoTO) and OBD, both of which will find numerous underwater applications in offshore oil spill response, fisheries management, storm preparedness, etc., which impact the economy and well-being of not only coastal regions but also inland states. The project will also provide special interdisciplinary training opportunities for both graduate and undergraduate students, particularly women and minority students, through both research work and related courses on underwater wireless communication, network security, and AUV designs.The DEUS project provides a viable cyber interconnection scheme that enables distributed, efficient, ubiquitous, and secure data delivery in underwater environment via four synergistic thrusts: (1) integration of underwater wireless sensor and communication systems, which will enhance the current MI and light communication means of underwater sensors, integrate acoustic transmission systems for long-range communications between anchor nodes and AUVs, and design energy harvesting and replenishment solutions to prolong the lifetime of underwater sensors (30+ years); (2) distributed and ubiquitous data delivery via multiple AUVs, which aims to collect the distributed data and deliver them ubiquitously throughout the underwater network by employing ferrite material and triaxial induction antennas and mounting them outside of the AUV body for MI enhancement, and developing algorithms of multiple AUVs' path-planning, trajectory optimization, etc. under dynamic network conditions; (3) efficiency and security in data delivery, which designs network algorithms to improve the efficiency and security of data delivery. Instead of collecting data from every sensor via acoustic communications, the AUVs choose some sensors to collect data with the high data rate transmission mode in near field (e.g., light), and allowing the sensor far away from the AUVs to send its data either directly to AUVs via acoustic wave or to its nearby chosen sensors via MI/light communications. A secure data delivery scheme will also be developed to not only secure the data delivery against typical malicious attacks and guarantee the integrity of collected data, but also allow the data aggregation of one business entity without knowing others' private business information; (4) experimental validation and testing, which will verify the proposed data delivery schemes, and quantitatively present the performance gains through simulations, experiments and field test, based on existing facilities.
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DOI:
10.1145/3366486.3366508
发表时间:
2019-10
期刊:
Proceedings of the 14th International Conference on Underwater Networks & Systems
影响因子:
--
作者:
[Debing Wei;Chaoxian Qi;Jiefu Chen;A. Song;G. Song;M. Pan]
通讯作者:
Debing Wei;Chaoxian Qi;Jiefu Chen;A. Song;G. Song;M. Pan
Robotic Harvesting of a Moving Swarm Represented by a Markov Process
以马尔可夫过程为代表的移动群体的机器人收获
DOI:
10.1109/coase.2019.8843164
发表时间:
2019
期刊:
Reshaping Particle Configurations by Collisions with Rigid Objects
影响因子:
--
作者:
[Bhatnagar, Shriya, Soto, Steban, Garcia, Javier, Becker, Aaron T.]
通讯作者:
Becker, Aaron T.
DOI:
10.1109/tcomm.2019.2899301
发表时间:
2019-02
期刊:
IEEE Transactions on Communications
影响因子:
8.3
作者:
[Mohamed A. Elmossallamy;M. Pan;Riku Jäntti;Karim G. Seddik;Geoffrey Y. Li;Zhu Han]
通讯作者:
Mohamed A. Elmossallamy;M. Pan;Riku Jäntti;Karim G. Seddik;Geoffrey Y. Li;Zhu Han
DOI:
10.1109/globecom42002.2020.9348141
发表时间:
2020-12
期刊:
GLOBECOM 2020 - 2020 IEEE Global Communications Conference
影响因子:
--
作者:
[Rui Chen;Liang Li;Jeffrey Jiarui Chen;Ronghui Hou;Yanmin Gong;Yuanxiong Guo;M. Pan]
通讯作者:
Rui Chen;Liang Li;Jeffrey Jiarui Chen;Ronghui Hou;Yanmin Gong;Yuanxiong Guo;M. Pan
DOI:
10.1145/3291940.3291988
发表时间:
2018-12
期刊:
Proceedings of the 13th International Conference on Underwater Networks & Systems
影响因子:
--
作者:
[Debing Wei;S. Soto;Javier Garcia;Aaron T. Becker;Li Wang;M. Pan]
通讯作者:
Debing Wei;S. Soto;Javier Garcia;Aaron T. Becker;Li Wang;M. Pan
共 17 条
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批准号:2318664
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项目类别:Standard Grant
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资助金额:$20.0万
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财政年份:2023
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负责人:Miao Pan
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依托单位:
Collaborative Research: CNS Core: Medium: Towards Federated Learning over 5G Mobile Devices: High Efficiency, Low Latency, and Good Privacy
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批准号:2107057
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项目类别:Continuing Grant
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资助金额:$50.0万
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财政年份:2021
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负责人:Miao Pan
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RAPID: Collaborative: Location Privacy Preserving COVID-19 Symptom Map Construction via Mobile Crowdsourcing for Proactive Constrained Resource Allocation
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批准号:2029569
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项目类别:Standard Grant
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资助金额:$10.0万
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财政年份:2020
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负责人:Miao Pan
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依托单位:
NeTS: Medium: Collaborative Research: Riding the Stress Wave: Integrated Monitoring, Communications, and Networking for Subsea Infrastructure
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批准号:1801925
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项目类别:Continuing Grant
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资助金额:$66.0万
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财政年份:2018
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负责人:Miao Pan
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依托单位:
WiFIUS: Collaborative Research: Ambient Re-Scatter Inspired Machine Type Communication for Heterogeneous IoT Systems
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批准号:1702850
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项目类别:Standard Grant
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资助金额:$30.0万
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财政年份:2017
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负责人:Miao Pan
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依托单位:
CAREER: SpecMax: Spectrum Trading and Harvesting Designs for Multi-Hop Communications in Cognitive Radio Networks
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批准号:1613661
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项目类别:Continuing Grant
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资助金额:$43.0万
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财政年份:2015
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负责人:Miao Pan
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依托单位:
EARS: Collaborative Research: Cognitive Mesh: Making Cellular Networks More Flexible
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批准号:1613682
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项目类别:Standard Grant
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资助金额:$16.67万
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财政年份:2015
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负责人:Miao Pan
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依托单位:
CAREER: SpecMax: Spectrum Trading and Harvesting Designs for Multi-Hop Communications in Cognitive Radio Networks
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批准号:1350230
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项目类别:Continuing Grant
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资助金额:$43.0万
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财政年份:2014
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负责人:Miao Pan
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依托单位:
EARS: Collaborative Research: Cognitive Mesh: Making Cellular Networks More Flexible
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批准号:1343361
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项目类别:Standard Grant
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资助金额:$28.66万
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财政年份:2014
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负责人:Miao Pan
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依托单位:
海外基金