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Mobile-Agent-Based Autonomous Data Fusion for Distributed Sensors

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-10-C-0324
Agency Tracking Number: N091-068-0447
Amount: $494,956.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N091-068
Solicitation Number: 2009.1
Solicitation Year: 2009
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-09-01
Award End Date (Contract End Date): 2012-02-29
Small Business Information
200 Canal View Blvd
Rochester, NY 14623
United States
DUNS: 073955507
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Liang Tang
 Team Lead, Intelligent Co
 (585) 424-1990
Business Contact
 Mark Redding
Title: President
Phone: (585) 424-1990
Research Institution

Autonomous Data Fusion is an essential technology to support the non-traditional surveillance systems that employ small autonomous systems communicating with each other – forming a distributed sensor network. Based on the Phase I achievements, Impact Technologies in collaboration with Wright State University, Virginia Tech and Northrop Grumman, proposes to further develop, mature and demonstrate with field trials a mobile-agent-based decentralized data fusion system that fuses the data from sensors deployed on unmanned vehicles into an integrated ISR information system on the combat ships. The proposed data fusion architecture is a three-level system which performs data processing and fusion at Node, Group, and System levels, respectively. The system has a number of advantages over conventional solutions: 1) communication bandwidth requirement and energy consumption are reduced by sending light-weight mobile-agents instead of sending data between the nodes; 2) progressive decision accuracy is achieved as the mobile-agents traverse the network performing Bayesian data fusion on the nodes; 3) real-time requirements are fulfilled by the Anytime algorithm design; 4) improved reliability; and 5) high scalability. Thorough and extensive experimental tests and field trials will be carried out on heterogeneous USVs to validate the developed technologies and facilitate the technology transition.

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