SBIR/STTR Research Award

Airborne Networking Live/Virtual/Constructive (LVC) Environment Model Enhancements

Award identifier c6c4669a0d16121b84bae080e065a9f712ef598193b95f279896d45c49cafc3eAwarding agency Department of Defense · Navy

Award amount

$749,222

Program and phase

SBIR · Phase II

Award year

2020

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
Navy
Recipient company
Scalable Network Technologies, Inc.
Proposal award date
2020-06-25
Contract end date
2022-01-14
UEI
C8V3KUAZHJ11
Solicitation number
08.3
Topic code
N08-225

Research abstract

Understanding the end-to-end performance of mission command applications executing on airborne networks under realistic operational conditions is critical for mission assurance. Understanding and mitigating any shortfalls in application performance can provide significant value to our warfighters and directly save lives. To meet this objective, the performance of the Live, Virtual, Constructive (LVC) environment must be optimized to support rapid analysis and comprehensive assessment of network performance in support of future mission concepts of operation. In this Phase II effort, we will enhance the current airborne networking LVC environment model by incorporating performance optimizations and enhancements, including scenario-specific partitioning, StatsDB redesign and refactoring, and a Non-IP Ethernet Frame interface. We will also develop interface models for the external time control object and add support for multiple MAC models on a single physical interface interface to enable implementation of Multiple Independent Levels of Security (MILS). These enhancements will enable more efficient and comprehensive future airborne network modeling, simulation and emulation.  The enhanced LVC environment model will better represent the operation of the airborne networks under a variety of scale, mobility, terrain, environmental and tactical operating conditions that may be difficult and cost prohibitive to realize using live assets.  The enhancements will also support an interface to live equipment and provide expanded constructive MIDS JTRS capabilities.

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

40 SBIR/STTR records share this UEI (2000–2020). Reported award amounts total $22,027,910. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

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.