You are here

ConnextEdge: A Hierarchical Framework for Resilient Edge Analytics

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911NF-20-P-0027
Agency Tracking Number: A19C-004-0011
Amount: $166,446.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A19C-T004
Solicitation Number: 19.C
Timeline
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-03-05
Award End Date (Contract End Date): 2020-05-27
Small Business Information
232 East Java Drive
Sunnyvale, CA 94089
United States
DUNS: 797735883
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Kyle Benson
 Computer Scientist
 (408) 990-7400
 research_team@rti.com
Business Contact
 Catherine Mekler
Phone: (408) 990-7422
Email: researchadmin@rti.com
Research Institution
 University of California - Irvine
 Herumi Baylon Herumi Baylon
 
UCI Office of Research 141 Innovation Drive, Suite 250
Irvine, CA 92697
United States

 (949) 824-6067
 Nonprofit college or university
Abstract

The US Army aims to integrate multi-modal sensor data streams and advanced AI analytics at the tactical network edge in support of its vision for a future Internet of Battlefield Things. To maintain situational awareness within mission-acceptable levels despite dynamic conditions and infrastructure disruptions, we propose the ConnextEdge framework for resource-aware location-agnostic adaptive AI processing. This Agile AI methodology makes local decisions about where and how to analyze sensor data. It monitors network connectivity and other system resources (e.g. compute, battery power) and determines whether to process data at a local networked compute device or a remote edge server. This enables more powerful AI algorithms on the edge server to extract relevant information with high accuracy, or low-power less-accurate local analytics to maintain continuity of operations during infrastructure disruptions prevalent in battlefield environments. This effort will incorporate years of experience and novel research on mission-critical edge computing systems with a field-tested TRL-9 communications framework currently deployed in many DoD systems. Our team's strong synergy and existing foundations translates to a low risk to the Army and a shortened timeframe to the completion of both Phase I and II of this effort.

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government