An Assignment Based Approach to Distributed Resource Management

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$69,968.00
Award Year:
2009
Program:
SBIR
Phase:
Phase I
Contract:
W9113M-09-C-0167
Agency Tracking Number:
A083-199-0019
Solicitation Year:
2008
Solicitation Topic Code:
A08-199
Solicitation Number:
2008.3
Small Business Information
Numerica Corpor
4850 Hahns Peak Drive, Suite 200, Loveland, CO, 80538
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
956324362
Principal Investigator:
Aubrey Poore
Chief Scientist
(970) 461-2422
aubrey.poore@numerica.us
Business Contact:
Stephanie Mueller
Contract Manager
(970) 461-2422
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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