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Innovative Approaches to Resource Virtualization over Ad-Hoc Wireless Networks

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-10-C-0442
Agency Tracking Number: N10A-006-0032
Amount: $69,998.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N10A-T006
Solicitation Number: 2010.A
Timeline
Solicitation Year: 2010
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-07-30
Award End Date (Contract End Date): 2011-02-28
Small Business Information
303 Bear Hill Road
Waltham, MA 02451
United States
DUNS: 004627316
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Andrew DeCarlo
 Project Engineer
 (781) 890-1338
 adecarlo@infoscitex.com
Business Contact
 Stephen Mattox
Title: Director, Finance and Con
Phone: (781) 890-1338
Email: smattox@infoscitex.com
Research Institution
 Western Michigan University
 Barb Wygant
 
1903 W Michigan Avenue
Kalamazoo, MI 49008
United States

 (269) 276-3802
 Nonprofit College or University
Abstract

Resource virtualization concepts are in heavy commercial use for optimizing the performance of distributed applications. Resource virtualization allows resources to be allocated and adapted on-the-fly, and enables a wide range of distributed computing, networking, and sensing applications. However, resource virtualization has traditionally been developed for fixed, stable networks, and cannot adequately function over mobile ad-hoc networks (MANETs). MANETs are highly variable, highly dynamic, unstable, and lacking in infrastructure, and pose additional challenges for resource virtualization. The Navy requires novel techniques for extending the benefits of resource virtualization to the challenges of MANETs. Infoscitex proposes opportunistic resource utilization networks (Oppnets). Oppnets are MANETs consisting of a seed network that temporarily recruits resources such as sensors, computers, lightweight clients, and networks. The Oppnets coordinate the capabilities and resources of diverse networks, sensors, and computational resources in a way that optimizes resource utilization across multiple hops.

* Information listed above is at the time of submission. *

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