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Multimedia over highly dynamic mobile wireless ad hoc networks: A cross layer collaborative approach

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N66001-08-M-1085
Agency Tracking Number: N081-089-0596
Amount: $70,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N08-089
Solicitation Number: 2008.1
Timeline
Solicitation Year: 2008
Award Year: 2008
Award Start Date (Proposal Award Date): 2008-06-18
Award End Date (Contract End Date): 2009-03-18
Small Business Information
15400 Calhoun Drive Suite 400
Rockville, MD 20855
United States
DUNS: 161911532
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Vahid Ramezani
 Senior Research Scientist
 (301) 294-5225
 vramezani@i-a-i.com
Business Contact
 Mark James
Title: Director of Contracts and Proposals
Phone: (301) 294-5221
Email: mjames@i-a-i.com
Research Institution
N/A
Abstract

A novel framework for multimedia communications over highly dynamic MANETs is proposed. The proposed framework is model-based and has many virtues such as scalability, self-organization, and self-healing, just name a few. To develop such a framework, significant theoretical and simulation efforts need to be made in cross-layer optimization, multipath routing of multimedia over the low-bandwidth MANETs, and performance evaluation. In our approach, we propose a novel cross-layer optimization approach to take QoS into account at MAC, network, transport, and application layers for multipath routing of multimedia over MANET; A Multiple Description (MD) coding technique will be integrated to offer great potential for video communications over military MANETs under extreme conditions. A novel model-based simulation infrastructure with an integrated executable modeling solution across multiple design abstraction layers will be built to facilitate the operational specification, design, and development simulation of the class of content-driven distributed applications. Finally, a video quality evaluation framework will be developed to efficiently assess the quality of transmitted video based mainly on frame decoding errors.

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

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