SBIR/STTR Research Award

Integrated Edge Computing Leveraging EUDs in a Tactical Environment

Award identifier fe0528a5daf04a0ab8a633940b5112b06f3c49e7c70be2173a70a8856c8a1361Awarding agency Department of Defense · Defense Threat Reduction Agency

Award amount

$167,500

Program and phase

SBIR · Phase I

Award year

2022

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
Defense Threat Reduction Agency
Recipient company
HIKINO ASSOCIATES, LLC
Proposal award date
2022-05-04
Contract end date
2022-12-08
UEI
RL13PYR65P16
Solicitation number
21.2
Topic code
DTRA212-001

Research abstract

The vision of Internet of Battlefield Things (IoBT) is where humans, machines, sensors, and autonomous systems will coordinate to execute missions, and do so in dynamic and sometimes ad hoc swarm configurations.  However, realizing such a vision is challenged in contested, degraded, or otherwise compromised A2/AD communications environments- even more concerning is that communication challenges are increasing as peer-nation electronic warfare technologies and radio denial technologies advance.  Thus, to be effective in this A2/AD paradigm, IoBT will need to integrate disparate sources of data and execute distributed processing, and execute these functions with no dependency on clouds, external connectivity, or client/server architectures.  As already seen in existing operations, peer-nations or austere conditions often can interfere, deny, or disrupt dismounted, deployed, and in-theater communications. Therefore, today’s dependencies on long-range connectivity, clouds and centralized computing are not practical for future missions and deployments.  To counter these challenges and drawbacks, prioritizing edge computing capabilities, decentralizing computational capabilities to avoid the need and reliance on highly-detectable uplinks, providing for distributed processing to eliminate any single point of failure, and empowering individuals in the field with data, analytics, and decision support in order to operate in such a disconnected environment will be critical to future mission success. Leveraging the computing power in the End-User Device (EUD) and providing the ability to swarm computing resources for higher-level processing would be much more powerful and also enable interactive decision support with the end-user where appropriate.  Such a model supports disconnected operations in denied/degraded environments, eliminates the requirement and bandwidth needed for highly detectable long-range communications, eliminates any single point of failure, and provides for local empowerment in disconnected operations.

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

9 SBIR/STTR records share this UEI (2019–2022). Reported award amounts total $5,082,022. Reported amounts are not federal obligations.

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