MOUS Evolutionary Quick Planner (MUOS EQuiP)

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$70,000.00
Award Year:
2009
Program:
SBIR
Phase:
Phase I
Contract:
N66001-09-M-1016
Award Id:
92342
Agency Tracking Number:
N083-222-0171
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
500 West Cummings Park - Ste 3000, Woburn, MA, 01801
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
859244204
Principal Investigator:
Michael Perloff
Sr. Research Engineer
(781) 933-5355
michael.perloff@ssci.com
Business Contact:
Michael Miselis
Sr. Research Engineer
(781) 933-5355
contracts@ssci.com
Research Institution:
n/a
Abstract
Mobile User Objective System (MUOS) will provide warfighters with worldwide LPI, voice and data mobile communications. Manually configuring satellite systems - assigning carriers to satellite beams and subsequent communications traffic planning is a time-consuming tedious task. Accessing MUOS communication planning tools requires a SIPRNET connection and mastery of a complex application. Fast, lightweight beamcarrier assignment and communications planning applications, that can be executed in field and passed to COCOM for implementation, will shorten implementation times, increase reliability and availability, and ensure MUOS' capability to provide assured, worldwide, on-demand, on-the-move communications to warfighters. In Phase I, we will develop MUOS-EQuiP, a Genetic Algorithm (GA) based tool to find and optimize beamcarrier assignments - quickly, without tedium. MUOS-EQuiP will also be a Quick Planner to test bandwidth apportionments against communications requirements. Our methods can easily be generalized to handle more factors and more complex, dynamic traffic scenarios. Scientific Systems (SSCI) has previously developed GA approaches for missile routing, attack planning, search planning, and medical scheduling. Our Phase III missile routing product, CMARS (Cruise Missile Autonomous Routing System) has been integrated into TPS (Tomahawk Planning System) and provides routes meeting many complex constraints in one or two minutes. Our proven experience in applying GA's to complex planning problems ensures a successful Phase I demonstration, a successful, validated Phase II prototype, and a successful Phase III integration.

* information listed above is at the time of submission.

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