An Assignment Based Approach to Distributed Resource Management

Award Information
Agency: Department of Defense
Branch: Army
Contract: W9113M-09-C-0167
Agency Tracking Number: A083-199-0019
Amount: $69,968.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2008
Solicitation Topic Code: A08-199
Solicitation Number: 2008.3
Small Business Information
4850 Hahns Peak Drive, Suite 200, Loveland, CO, 80538
DUNS: 956324362
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Aubrey Poore
 Chief Scientist
 (970) 461-2422
 aubrey.poore@numerica.us
Business Contact
 Stephanie Mueller
Title: Contract Manager
Phone: (970) 461-2422
Email: stephanie.mueller@numerica.us
Research Institution
N/A
Abstract
Numerica proposes the development of a distributed communications and sensor resource management system. Sensor resource management (SRM) is performed at one level and then communications resource management (CRM) at a finer level with feedback to the SRM. This architecture accommodates the much faster time frame over which CRM operates. Our approach consists of: a) dynamic myopic and non-myopic sensor tasking based on a resource constrained assignment of a group of sensors to each task; b) adaptive myopic and non-myopic communications resource allocation across a network with a feedback to the sensor tasking algorithms; c) a stochastic dynamic optimization framework called partially observable Markov decision processes (POMDP); d) distributed algorithms for a) - c) consistent with the needs of the peer-to-peer network and MANETS (Mobile Ad-hoc NETworks). The philosophy is that communications and sensor resource management should not be considered independently of one another in that a sensor should not be asked to send information that cannot be transmitted because of network constraints, nor should a sensor be asked to perform task that it cannot achieve just because of network bandwidth availability.

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

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