SBIR/STTR Research Award

OARBIT Optimal Allocations fo Resources by Information Theory

Award identifier fa2510de8681fc1dd5326a7288b50d424be9adf2b6e2c728e70813840d15a026Awarding agency Department of Defense · Air Force

Award amount

$99,996

Program and phase

SBIR · Phase I

Award year

2011

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
KBR Wyle Services, LLC
Proposal award date
2010-11-29
Contract end date
Not reported
UEI
QWBYGNFNT4T6
Solicitation number
2010.2
Topic code
OSD10-L08

Research abstract

As part of this SBIR project our firm will combine algorithmic information theory with deterministic and stochastic optimization techniques to create an optimization co-processor for wireless nodes. We will focus on the problem of change-point detection in resource-constrained wireless sensor networks to realize an effective solution. We are specifically targeting Android operating system (OS) hand-held devices and cell-phones. Our solution concept consists of a Device Capability Manager that determines the dynamic state and availability of resources, a Network Capability Manager that assesses the dynamic state of the network, and a Resource Optimization Co-Processor that optimally assigns resources for maximum efficiency. These components form the framework for a practical and innovative solution to the this SBIR.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

75 SBIR/STTR records share this UEI (2003–2019). Reported award amounts total $36,682,848. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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