| NSF Org: |
CNS Division Of Computer and Network Systems |
| Recipient: |
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| Initial Amendment Date: | August 14, 2007 |
| Latest Amendment Date: | July 28, 2009 |
| Award Number: | 0721477 |
| Award Instrument: | Continuing Grant |
| Program Manager: |
Min Song
CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | September 1, 2007 |
| End Date: | December 31, 2011 (Estimated) |
| Total Intended Award Amount: | $182,250.00 |
| Total Awarded Amount to Date: | $182,250.00 |
| Funds Obligated to Date: |
FY 2008 = $50,500.00 FY 2009 = $59,650.00 |
| History of Investigator: |
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| Recipient Sponsored Research Office: |
2550 NORTHWESTERN AVE # 1100 WEST LAFAYETTE IN US 47906-1332 (765)494-1055 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
2550 NORTHWESTERN AVE # 1100 WEST LAFAYETTE IN US 47906-1332 |
| 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: |
01000809DB NSF RESEARCH & RELATED ACTIVIT 01000910DB NSF RESEARCH & RELATED ACTIVIT |
| 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
Energy-management is essential for wireless sensor networks to prolong network lifetime and to increase the amount of useful information conveyed. There is potential to substantially improve the energy efficiency of sensor networks by exploiting cross-layer interactions among various networking layers and functionalities. However, such a cross-layer solution could also become impractically complex and difficult to implement. To address this challenge, this collaborative NSF-funded project at The Ohio State University and Purdue University aims to develop a suite of high-performance cross-layer mechanisms for sensor networks that are simple, modular, distributed, and provably energy-efficient. The key distinguishing feature of the project is that the mechanisms developed are based on a solid theoretical foundation that rigorously manages both performance and complexity with the goal of practical implementation. The PIs will investigate four major functionalities that are crucial to the efficient operation of energy-constrained wireless sensor networks, including joint medium-access and routing, sleep/wake scheduling, in-network aggregation/computation, and reliable broadcast. The theoretical solutions developed in this project will be implemented and evaluated on two testbeds: the existing Kansei testbed at OSU, and a prototype deployment (SENSE@OSU).
Broader impact: The collaborative research will have a significant impact on wireless industry sectors, and will lead to breakthroughs in our understanding of the fundamental limits for developing energy-efficient distributed solutions for sensor networks. The PIs will also continue their current efforts to recruit and train women and under-represented minority groups both at the undergraduate and graduate levels.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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