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An Adaptive Geographic Internet Sub-Protocol for Dynamic Wireless Networks

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-06-C-0034
Agency Tracking Number: N052-108-0105
Amount: $80,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N05-108
Solicitation Number: 2005.2
Timeline
Solicitation Year: 2005
Award Year: 2005
Award Start Date (Proposal Award Date): 2005-10-14
Award End Date (Contract End Date): 2006-04-14
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
 Hongjun (Jason) Li
 Senior Research Scientist
 (301) 294-5275
 jli@i-a-i.com
Business Contact
 Mark James
Title: Contracts and Proposals Manager
Phone: (301) 294-5221
Email: mjames@i-a-i.com
Research Institution
N/A
Abstract

In order to seamlessly integrate ad hoc and sensor networks with the Internet, we introduce a novel entity called Internet Sub-protocol Manager (ISM) that serves as the "bridge" between the standard IP and our geographic sub-protocol (SP). The standard IP stack (either IPv4 or IPv6) needs not to be changed. Rather, the ISM will encapsulate the original IP packets within the sub-protocol payload and provide an IP-in-SP tunneling. The sub-protocol exploits the geographical and mobility information available from the GPS equipped communication node and achieves position-based routing that incurs less storage and less processing overhead. The geographic routing provides alternate paths for such wireless nodes. While current geographic routing protocols are impractical, our proposed Cross Link Detection Protocol (CLDP) guarantees that geographic routing between all pairs of nodes will never fail. We have demonstrated that our approach achieves geographic routing correctly on real radio networks. ISM and our geographic routing protocol can be easily configured and we provide an efficient mechanism for wireless routing packet format discovery. In addition, we propose to adaptively manage the routes via proactive prediction of link expiration time and describe a method for differentiating link failure and congestion.

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

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