You are here

On the Fly Tasking, Configuration, and Control of IoT Networks

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8649-21-P-0444
Agency Tracking Number: FX203-CSO1-1532
Amount: $50,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF203-CSO1
Solicitation Number: X20.3
Solicitation Year: 2020
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-02-05
Award End Date (Contract End Date): 2021-05-10
Small Business Information
47865 Fremont Blvd
Fremont, CA 94538-1111
United States
DUNS: 197593788
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Kevin Montgomery
 (408) 781-1900
Business Contact
 Kevin Montgomery
Phone: (408) 781-1900
Research Institution

Agile Combat Employment (ACE) is one of the most vital force projection elements for the Air Force – ACE mission is lean, agile, and lethal force. ACE must go into a location, set up a base, do a forward area rearm, repair, and refuel and get back into the fight – doing so with minimal equipment and lean teams. ACE Forward Operating Sites (FOS) rely on small teams of Multi-functional Airmen (MFA) to support fighter jets, transport aircraft with aerospace group equipment (AGE), fueling systems, and portable C5ISR ground systems. From command and operational perspective, these ACE teams must have the ability to disperse, recover and rapidly resume operations in a contested or austere environment. From a technology perspective, these teams are under constant threat of cyberattacks, denial attacks, and unreliable communications. While deployed in this austere, challenged and contested environment, vigilance of incoming threats from an adversary is highly important and time critical. For these reasons, ACE teams require a capability to disperse a variety of sensing modules that can identify threats from adversary ISR activities (such as UAVs). A forward deployed sensor mesh will help detect cyber risks, tactical RF risks, environmental conditions, CBRN factors, movement in and around the areas, EW methods, and an enhanced multi-modal and multi-dimensional battlespace environment that will help IoBT swarming of humans, machines, sensors, and autonomous systems in surveillance/reconnaissance, deployment, and support missions.  However, once deployed either as ground sensors or autonomous UAVs, the ability to control these networks of IoT devices to increase sample frequency due to concern of imminent threats, enable inter-node cueing for increased sensitivity to a detected threat, have a network of devices establish a dynamic background level to enable subthreshold detection,  enable network self-optimization for various parameters such as greatest signal strength or low latency or maximal throughput, change security parameters of the entire network and/or eliminate a compromised node from the network, task the network to perform an analytics function, or other operations is vitally important without requiring the physical accessing of each deployed node. Our objective with this Phase I proposal is to undertake a Requirements Analysis to explore the needs, gaps, and requirements for on the fly configuration, tasking and control of wireless mesh networks, but also to develop these concepts and perform a preliminary demonstration of such capabilities.  A future Phase II proposal would then further develop technologies addressing these needs, along with test and evaluation in field conditions with ACE personnel, and develop these prototypes into products available for acquisition and use to improve the austere resiliency of wireless mesh sensor networks for ACE/SOF operations.

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

US Flag An Official Website of the United States Government