SBIR/STTR Research Award

Minimalist Wearable Mesh Network (MINIMEN) System for Soldier Training Feasibility, Tradeoff, and Demonstration

Award identifier 8527168c6cf998bd6837dbc8c5113e113ee442172fc046be37db6015011e88b4Awarding agency Department of Defense · Army

Award amount

$99,999

Program and phase

STTR · Phase I

Award year

2005

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
Army
Recipient company
SAN DIEGO RESEARCH CENTER, INC.
Proposal award date
2005-08-15
Contract end date
2006-02-14
UEI
D7DLYNEJ72G4
Solicitation number
Not reported
Topic code
A05-T028

Research abstract

San Diego Research Center (SDRC) and University of California in Los Angeles (UCLA) offer a team of experts in wearable sensors, embedded networking, mesh networking, and military communication systems to study and demonstrate the feasibility of the overall system concept. We seek to define and design the overall system architecture model composed of the body-worn system, the wireless network, and the higher-layer sensor information processing. During Phase I, the primary focus is to systematically characterize the interplay between the functions running on the micro-server node worn by the soldiers, the network protocols, the radio technology, the network topology, and the querying framework, and identifying candidate mechanisms and technologies for each one of these based on simulation. We will leverage three groups of prior and ongoing research to prototype a lab-scale system to validate the feasibility of the architecture concepts and subsystem technologies: (i) the large body of prior work on wireless sensor networks and related tools and technologies developed at UCLA; (ii) wearable sensor system development in the context of solider training (e.g., OneTESS); and (iii) robust RF communication system for Army testing instrumentation being designed by SDRC. Specific objectives include identifying the choices of radio technology, network topology options, and routing protocols, and characterizing their performance via simulation modeling and experimental measurements on performance (latency, capacity) and energy metrics.

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

25 SBIR/STTR records share this UEI (2001–2006). Reported award amounts total $10,192,667. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, Department of Energy

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.