| NSF Org: |
CNS Division Of Computer and Network Systems |
| Recipient: |
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| Initial Amendment Date: | September 14, 2015 |
| Latest Amendment Date: | September 14, 2015 |
| Award Number: | 1524317 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Alhussein Abouzeid
aabouzei@nsf.gov (703)292-7855 CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | October 1, 2015 |
| End Date: | September 30, 2020 (Estimated) |
| Total Intended Award Amount: | $460,000.00 |
| Total Awarded Amount to Date: | $460,000.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
77 MASSACHUSETTS AVE CAMBRIDGE MA US 02139-4301 (617)253-1000 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
77 Massachusetts Avenue Cambridge MA US 02139-4307 |
| 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 growth in mobile and media-rich applications has greatly increased the demand for wireless capacity, straining wireless networks. This dramatic increase in demand poses a challenge for current wireless networks, and calls for new algorithms that make better use of scarce wireless resources. Recently developed algorithms for optimally managing wireless resources hold the promise of significant performance improvement, but require all of the nodes in the network to be upgraded with new functionality which is both costly and impractical. This project introduces a novel architectural paradigm for wireless networks, whereby optimal algorithms are designed to operate in networks with both new and legacy nodes. This new paradigm allows optimal algorithms to be incrementally deployed alongside existing schemes, thus providing a migration path for new control algorithms, and the promise of dramatic improvement in network performance at incremental cost.
This project develops a novel overlay architecture for implementing optimal network control algorithms over legacy networks. New nodes, capable of implementing sophisticated network control algorithms, will be connected in a virtual network overlay that operates on top of the legacy network. The research will answer fundamental questions about which nodes must be upgraded with new functionality and the tradeoff between the number of new upgraded nodes and network performance. The project will develop new routing algorithms that send packets from their sources to their destinations in the overlay network, and transmission scheduling algorithms for mitigating the effect of wireless interference. These new algorithms will be designed to operate efficiently in a network with a mix of new and legacy nodes, by taking interoperability into account. Thus, this project will answer fundamental questions about the introduction of new control techniques into legacy networks, and provide a promising approach to bridging the gap between new techniques developed for universal deployment and the reality of the networks in operation today.
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 growth in mobile and media-rich applications has greatly increased the demand for wireless capacity, straining wireless networks. This dramatic increase in demand poses a challenge for current wireless networks, and calls for new network control mechanisms that make better use of scarce wireless resources.
This project developed a novel architectural paradigm for wireless network control, whereby novel network algorithms are designed to operate in networks with both new and legacy nodes. This new paradigm allows optimal control algorithms, such as new routing schemes, to be incrementally deployed alongside existing schemes, providing a migration path for new algorithms that promise dramatic improvements in network performance.
This project developed a nove overlay architecture for enabling the deployment of new network algrothms, as well as novel network control schemes that can operate along side existing schemes and legacy technologies. Our main accomplishements include:
1) we developed an overlay architecture for implementing optimal network control algorithms over a legacy network.
2) We develop new routing algorithms that operate over an overlay network, where overlay nodes are connected via “tunnels” consisting of uncontrollable legacy nodes.
3) We developed optimal link scheduling algorithms for a wireless network with a mix of controllable and uncontrollable nodes.
4) We developed optimal flow control schemes to maximize network utility in the overlay network.
Last Modified: 12/07/2020
Modified by: Eytan Modiano
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