Intelligent Agents for Scheduling Space Communications

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$99,994.00
Award Year:
2009
Program:
SBIR
Phase:
Phase I
Contract:
NNX09CC16P
Award Id:
90516
Agency Tracking Number:
084897
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
100 N.E. Loop 410, Suite 520, San Antonio, TX, 78216
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
193786014
Principal Investigator:
Peter Bonasso
Principal Investigator
(281) 461-7884
bonasso@traclabs.com
Business Contact:
James Anderson
CEO
(281) 461-7886
janderson@traclabs.com
Research Institution:
n/a
Abstract
With the advent of the new exploration initiative, the number of customers and missions to be supported by the NASA Space Communications infrastructure will increase dramatically. As well, new antenna types to be developed in support of exploration will increase, thus increasing the complexity of constraints governing the use of space communications assets. In a new concept, the communications architecture will evolve from the present legacy assets but with the addition of new assets. This future architecture will need a radically new user interface paradigm that must allow space communications missions to both unequivocally specify their requests and also iteratively get those requests integrated with those of other users in increasingly crowded bandwidths. It is our contention that such an interface cannot be developed easily with conventional means, but instead is best designed using intelligent agent technologies, resulting in an intelligent space communications scheduling agent for each user/mission. Therefore, to meet the increased scheduling needs we propose to: design and develop software scheduling agents to interface with existing space communications scheduling engines, using local working databases of active schedule possibilities; to incorporate in the agents models of user preferences for communications requests, conflict resolution and notification of schedule changes; to allow the user/mission to vary the autonomy of the scheduling agent; and to imbue the agents with the capability for planful interactions for peer-to-peer resolution of schedule conflicts.

* information listed above is at the time of submission.

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