SBIR-STTR Award

Waveform Model Enhancements for Parametric Traffic Generation
Award last edited on: 2/9/2023

Sponsored Program
SBIR
Awarding Agency
DOD : Navy
Total Award Amount
$1,441,655
Award Phase
2
Solicitation Topic Code
N08-225
Principal Investigator
Sheetalkumar Doshi

Company Information

Scalable Network Technologies Inc (AKA: Parsec Network Technologies)

6059 Bristol Parkway Suite 400
Culver City, CA 90230
   (310) 338-3318
   info@scalable-networks.com
   www.scalable-networks.com
Location: Multiple
Congr. District: 37
County: Los Angeles

Phase I

Contract Number: N00039-09-C-0115
Start Date: 3/23/2009    Completed: 9/23/2009
Phase I year
2009
Phase I Amount
$69,008
The Wideband Networking Waveform (WNW) utilized by the Joint Tactical Radio System (JTRS) uses an adaptive networking architecture that optimizes network routing performance and overall network stability for various tactical applications. However, maintaining the desired performance to meet the demands of heterogeneous applications operating over a wide variety of deployment scenarios, with dynamically varying density and mobility patterns continues to be a challenge. The overall objective of the SBIR proposal, over the next three phases, is to deliver a set of cross-layer based enhancements to the Wideband Networking Waveform (WNW) to overcome the performance issues under dense and unstable network conditions and improve its performance in diverse set of on-the-move operational scenarios. The proposed enhancements focus on integrated adaptive transmit power control, adaptive routing update frequency control and adaptive control of degree of node connectivity via routing layer filters. In Phase 1, we will conduct design trade studies of the preceding WNW enhancements and perform a proof-of-concept demonstration for the most promising approach using Scalable JMEE, a real-time WNW emulation environment. The study will isolate the set of adaptive & scalable enhancements needed to the baseline WNW that can be smoothly transitioned to the JTRS program.

Benefit:
There is a dramatic need for dynamic, adaptive and robust communications in a mobile context. Over the next 5 years, over $200B is expected to be invested in new programs for the DoD, DHS and Intelligence organizations to transform our forces to a network-centric force. The Army has begun with the Future Combat System (FCS) program which will re-capitalize the entire Army force structure (armored vehicles, UAVs, sensors, and communications equipment) and all assets will be tied to IP-based network. Similarly, the Navy and Air Force are undertaking major new communications initiatives. Following the US lead, European and Asian allies are similarly engaged in a process of transformation of their military forces. The key element of these transformations is that unlike previous stove-piped military systems, each of which had a dedicated communications network, the network-centric operations rely on a shared infrastructure that must dynamically allocate mobile, wireless communication resources among competing applications. Given the importance of network-centric warfare as the evolving doctrine, robust on-the-move communication is a key enabler. This research shall directly lead to the improvements in the WNW waveform performance in operational scenarios where the current waveform is known to exhibit sub-par performance. In addition to the Department of Defense, homeland security networks, public dispatch emergency networks and commercial software defined radio networks are emerging that share some of the same challenges as the military on-the-move communication networks and will directly benefit from adaptations of the technology that will be developed in the proposed effort.

Keywords:
adaptive routing update frequency control, adaptive routing update frequency control, cross layer enhancements, routing layer filters, WNW, adaptive transmit power control, adaptive control of degree of node connectivity

Phase II

Contract Number: N68936-16-C-0080
Start Date: 9/29/2016    Completed: 7/29/2017
Phase II year
2016
(last award dollars: 2020)
Phase II Amount
$1,372,647

Battlefield operations are increasingly driven by mission critical, network-centric applications. Each branch of service within the DoD has several programs that use modeling and simulation to plan, test and analyze communication networks. These programs span a wide variety of protocols, waveforms, networks, and models, often times across multiple tools. In some cases, the waveforms and protocols do not use the full TCP/IP network stack. Currently there does not exist a realistic traffic generator that can plan and deploy traffic across the disparate waveforms and models. In this SBIR proposal we present a parametric traffic generation application that will enable comprehensive testing of request and response application flows across a variety of waveforms and models, including network stacks other than TCP/IP. The parametric traffic generation application will be designed to send a request packet to a destination address, and receive responses from one or more receivers of the request packet. A framework will be developed to allow the application to work across network models that span different waveforms and network stacks. The framework will include traffic generation model, a Graphical Interface to facilitate rapid model configuration, and an extensible API to facilitate integration across other simulators or emulators as needed.

Benefit:
This SIBR effort will create technology that will improve network design and testing capabilities, leading to less wasted time and resources. Currently there does not exist a realistic traffic generator that can plan and deploy traffic across the disparate waveforms and models. The DoD has a significant need for developmental and operational testing across all services, and the traffic generation tool produced from this SBIR effort will benefit not just the Link 16 and TTNT programs in the Navy, but can be applied to many different waveforms and models across the DoD. Additionally, integration of the parametric traffic generation tool should significantly increase the use of existing network simulation and emulation tools and other battlefield models for analysis and risk reduction by providing easy traffic generation and statistics collection capability that are meaningful at the application level.

Keywords:
multicast, Request-Response Traffic, Link16, Traffic Generation, TTNT, Tactical Network simulation, Software Defined Radio