| NSF Org: |
CNS Division Of Computer and Network Systems |
| Recipient: |
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| Initial Amendment Date: | August 6, 2012 |
| Latest Amendment Date: | August 6, 2012 |
| Award Number: | 1217260 |
| Award Instrument: | Standard Grant |
| Program Manager: |
wenjing lou
CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | September 1, 2012 |
| End Date: | August 31, 2016 (Estimated) |
| Total Intended Award Amount: | $349,997.00 |
| Total Awarded Amount to Date: | $349,997.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
3720 S FLOWER ST FL 3 LOS ANGELES CA US 90033 (213)740-7762 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
837 West Downey Way, STO 315 Los Angeles CA US 90089-1147 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): | Networking Technology and Syst |
| Primary Program Source: |
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| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.070 |
ABSTRACT
Recent developments in the automotive industry point to a new emerging domain of vehicular wireless networks, in which vehicles equipped with radios can communicate a wide range of information to each other and the wider Internet, including traffic and safety updates as well as infotainment content. The primary goal of this project is to develop a hybrid network architecture for such vehicular networks which combines both the existing cellular infrastructure as well as new vehicle-to-vehicle (V2V) communication capabilities. The hypothesis is that such a hybrid network architecture will improve cost, capacity and robustness, compared to either a purely centralized cellular-based approach or a purely distributed V2V approach. Under a hybrid architecture, the project aims to design information-centric protocols for information dissemination, aggregation, and storage, that can exploit the spatio-temporally localized nature of vehicular applications. Further, through mathematical analysis, computer simulations, as well as experimental implementation on a research fleet of vehicles, this project aims to evaluate the performance of these protocols.
This project will be a unique academia-industry collaborative project between researchers at the University of Southern California and General Motors. While the focus will very much be on basic research disseminated to the academic community through publications, the close interaction with a prominent industry partner will enable the research to have a strong impact on real-world vehicular networks. Material from this research project will be incorporated into graduate courses at USC. The aimed-for advance in information technology for the automotive domain could have significant social impact by enabling improvements in traffic safety, efficiency, user comfort and productivity.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
Recent developments in the automotive industry point to a new emerging domain of vehicular wireless networks, in which vehicles equipped with radios can communicate a wide range of information to each other and the wider Internet. A primary goal of this project has been to develop a hybrid information-centric network architecture for vehicular networks which combines both the existing cellular infrastructure as well as emerging new vehicle-to-vehicle (V2V) communication capabilities.
The project has been an academic-industry collaboration, involving close interactions between the PI, Bhaskar Krishnamachari from the University of Southern California,and the Co-PI, Fan Bai from General Motors (GM).
Research activities in the project have included investigations of modeling and optimization of content dissemination in vehicular networks, latency reduction for content downloads using coded storage, improving the performance of cloud-based applications for connected vehicles, characterizing and using social community structures of fleet vehicles, modeling of vehicular encounter processes, multi-file dissemination in mobile networks, and efficient collection of data from vehicular sensors.
Several graduate students from the PI's research group had opportunities to spend time at GM on summer internships, gaining valuable industry experience, and several also benefitted from additional guidance and feedback on their Ph.D. dissertation research from a practical industry perspective.
The PI and Co-PI co-authored several conference and journal papers in the courseof this collaborative project. Results from the project were also disseminated through talks by the PI at other universities.
The PI's work on vehicular networks in collaboration with GM was recognized in Popular Science magazine in the form of a "Brilliant 10" listing in September 2015.
Last Modified: 12/08/2016
Modified by: Bhaskar Krishnamachari
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