SBIR-STTR Award

COAT: A Protocol for Control Oriented Adaptive Transport
Award last edited on: 2/21/2007

Sponsored Program
SBIR
Awarding Agency
DOD : AF
Total Award Amount
$99,981
Award Phase
1
Solicitation Topic Code
AF06-024
Principal Investigator
Ramakrishnan Srinivasan

Company Information

Effective Automation Systems Inc (AKA: nHansa )

1014 Narciso Court
San Jose, CA 95129
   (408) 480-7707
   N/A
   www.effective-automation.com
Location: Single
Congr. District: 18
County: Santa Clara

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2006
Phase I Amount
$99,981
We shall investigate, design and demonstrate an adaptive protocol called COAT (Control Oriented Adaptive Transport). In contrast with static and linear protocols such as TCP, COAT will be designed to be control-oriented and situation specific. COAT will therefore be applicable to widely varying network and application conditions commonly encountered in DoD On-The-Move (OTM) networks. COAT assembles data plane and transmission control plane micro-protocols into a coherent stack, while preserving binary application compatibility with existing applications as well as offering a strategy for communication compatibility with legacy nodes. COAT incorporates network sensors which sense and characterize the network state in terms of key control variables, which are then used to control COAT data plane and transmission control plane micro-protocols. COAT architecture also allows the inclusion of application utility oriented sensing and control for mixed mode application class support. In Phase 1, we will demonstrate COAT benefits over TCP by using an emulation test bed of DoD airborne links commonly employed in a Joint Forces experiment. Our team incorporates a wide variety of skills including the networking technology expertise, entrepreneurial track record, standards development and DoD transition of emergent technology.

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
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Phase II Amount
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