FAUST: Finite-field Algebra for Unbeatable Situational-awareness in Tactical-networks

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$69,999.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
W15P7T-10-C-C212
Award Id:
97734
Agency Tracking Number:
A093-170-0644
Solicitation Year:
n/a
Solicitation Topic Code:
ARMY 09-170
Solicitation Number:
n/a
Small Business Information
500 West Cummings Park - Ste 3000, Woburn, MA, 01801
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
859244204
Principal Investigator:
RajeshKrishnan
Deputy Director, Networki
(781) 933-5355
rajesh.krishnan@ssci.com
Business Contact:
JayMiselis
Corporate Controller
(781) 933-5355
contracts@ssci.com
Research Institute:
n/a
Abstract
We propose FAUST, the Finite-field Algebra for Unbeatable Situational-awareness in Tactical-networks. FAUST utilizes Boston University's CPISync, an advanced data set reconciliation primitive that significantly improves synchronization and transmission of different types of Situational Awareness information among nodes using common SA platforms. FAUST offers better performance for dissemination of information vs. commonly used approaches of flooding or epidemic dissemination. Information types that can be reconciled encompass SA, data and geographical, and network topology. CPISync supports scalable dissemination, providing information-theoretic guarantees on communication complexity. It is a lower level protocol that maximizes the value of the information exchanged during an encounter (data synchronization). This primitive improves network performance by enabling larger aggregation of data (scalability), higher data collection rates during link failures, and efficient utilization of low bandwidth data links. These protocols tie together with network-wide protocols that work when no end-to-end paths are available and that provide persistence to data (survivability). In Phase I, SSCI will demonstrate performance improvement over baseline standard data synchronization mechanisms for ordered data, using a virtual network. Comparison metrics include communication latency, energy consumption, and volume of data synchronized per unit time. Phase II will enable user self-management in the field, such as allowing the users to select the groups that it belongs to.

* information listed above is at the time of submission.

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