Mobile-Agent-Based Autonomous Data Fusion for Distributed Sensors

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$99,772.00
Award Year:
2009
Program:
SBIR
Phase:
Phase I
Contract:
N00014-09-M-0171
Agency Tracking Number:
N091-068-0447
Solicitation Year:
2009
Solicitation Topic Code:
N091-068
Solicitation Number:
2009.1
Small Business Information
Impact Technologies, LLC
200 Canal View Blvd, Rochester, NY, 14623
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
073955507
Principal Investigator:
Liang Tang
Sr. Lead Engineer
(585) 424-1990
liang.tang@impact-tek.com
Business Contact:
Mark Redding
Sr. Lead Engineer
(585) 424-1990
mark.redding@impact-tek.com
Research Institution:
n/a
Abstract
Impact Technologies, LLC in collaboration with Wright State University and Northrop Grumman, proposes to develop and demonstrate a mobile-agent-based decentralized data fusion system that fuses the data from geographically-dispersed heterogeneous sensors into an integrated ISR information system. Unlike conventional centralized methods, in which each sensor sends local information to a processing center for integration, in the proposed approach, data will first be processed on the sensor nodes, then fused locally within a group of unmanned vehicles using lightweight mobile-agents before the information is further fused at system level. Instead of transmitting large amounts of data over the network, the mobile-agent with partially integrated results migrates from one node to another performing data fusion at each node visited. This results in a reliable power-efficient data fusion process that improves decision accuracy in a progressive fashion without requiring a high bandwidth. The system will be built on a hierarchical open system architecture using standard protocols while the software implementation and integration will follow a well-established system engineering approach. At the conclusion of Phase I, a design concept will be developed and feasibility will be demonstrated through software simulation using typical littoral ISR scenarios.

* information listed above is at the time of submission.

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