SBIR/STTR Research Award

A Cross-layer Approach for Reliable Communication in Airborne Networks

Award identifier 7018eec34a28eca72b89f72fb6a7fa955648ad884463c62f9c3f229c466f2c53Awarding agency Department of Defense · Air Force

Award amount

$749,998

Program and phase

SBIR · Phase II

Award year

2008

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
Intelligent Automation, Inc.
Proposal award date
2008-03-31
Contract end date
2010-03-30
UEI
C3QJD7VXG167
Solicitation number
2007.1
Topic code
AF071-062

Research abstract

In this effort, Intelligent Automation Inc. (IAI), with support from its subcontractors and consultants, proposes an innovative approach for achieving reliable wireless communications in Airborne Network environment. The technical approach is built on an integrated cross-layer design involving Link layer, Network layer and Transport layer. Having separate innovations at each layer, our approach enables seamless cross-layer information sharing and cooperation, and provides reliable Airborne Network communications for end users. Our approach has the following significant advantages. First, a cross-layer framework with intelligent link management assists information exchanges between different network layers, expedites upper layers’ response to changes of physical links and outside environment, and helps optimize link selections. Second, the approach considers a multi-graph model to capture multiple heterogeneous wireless links of airborne platforms. The graph model, serving as a sound mathematic foundation, allows us to use optimized OSPF to achieve optimal routing decision in Airborne Network’s multi-radio multi-channel environment. Third, we propose a novel multi-TCP implementation at Transport layer. The multi-TCP implementation can switch back and forth between different TCP proposals when loss rate and other link conditions change, thus adapting itself to AN’s ever-changing and extreme link and networking conditions.

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

1,182 SBIR/STTR records share this UEI (1987–2021). Reported award amounts total $369,972,257. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Transportation, Department of Health and Human Services, National Science Foundation, Department of Homeland Security

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.