Computer Networks & Software Inc. 7405 Alban Station Court, Suite B225, Springfield, Virginia 22150-2318 (703) 644-2103 Accelerating CNS Airborne

Computer Networks & Software Inc.

7405 Alban Station Court, Suite B225, Springfield, Virginia 22150-2318 (703) 644-2103

Accelerating CNS

www.CNSw.com

Airborne Internet to Support SATS

Flight Data Link Applications

AI Consortium Meeting

January 22, 2003

Accelerating CNS

2Computer Networks & Software, Inc.

Agenda

AI Concept Review of GRC SATS AI Project Results AI Testbed Conclusions DARTS AI Roadmap

Accelerating CNS


Airborne Internet History

Airborne Internet was conceived as an enabling technology for the air/ground and air/air exchange of digital data for the SATS Program.

May 01: CNS received task order from GRC to conduct research on the AI for SATS.

Dec 01: SATS AI Testbed demonstration marked end of GRC task order.

May 02: CNS awarded 6 month task order for SATS AI demonstrations.

Sep 02: DARTS contract for AI equipment and applications awarded to CNS.

Accelerating CNS


Airborne Internet Concept

Airborne Internet is a set of communication services and protocols that support consolidated one-way and two-way data exchange requirements of diverse applications. – Applications share bandwidth available from minimum

number of radios. Goal is one radio.

– Media independent

– Applications use only those communications services that they need.

Accelerating CNS


AI Nodal Protocol Architecture

T C P (A I-P IC S )

IP (A I-P IC S )

P eer -to -P eer

A I A p p A I A p p

L A N

L in k L a y er P ro to co l

P h y sica l L a y er P ro to co l

A I-R o u ter

A rea w id eC o lla b o ra tio n

P ro to co l(A C P )

C e ll w id eC o lla b o ra tio n

P ro to co l(C C P )

M o b ility

A I A p p A I A p p A I A p p A I A p p

Accelerating CNS


Generic AI Model

An Integrated CNS approach to interoperability - all services through a common communications method.

All the challenges that the ATN faced in the 1980’s, but using the standards of today.

Airborne InternetInfrastructure

Mod

e S

UA

T

SA

TC

OM

VD

L

A/C

LA

N(A

RIN

C 6

64)

WL

-LA

N80

2.11

/16

Applications

Subnetworks

LayeredProtocolServices

Data Transport Services

Broadcast, Multicast, Unicast

Mob

ility

Net

wor

k M

anag

emen

t

Secu

rity

Qua

lity

of S

ervi

ce

Accelerating CNS


Airborne Internet Environment

Non-AI Aircraft

SATCOM

AI VDLAI VDL

AI VDL

AI Aircraft

ATC Controller

GPS

Navigation

Line of sight

AI Airport Services

• TIS-B• LAAS

NAS Services• ATM System • HUB Airports• TIS-B

Internet • Weather Products • NOTAMS• Flight Service Stations• OtherVPN

Gateway

AI SATCOM

Gateway

Accelerating CNS


SATS AI Project Summary

Government Leaders:– FAA Technical Contact: Ralph Yost– NASA GRC Project Manager: Mike Zernic– NASA GRC Project Engineer: Jim Griner– NASA GRC Space Comm Office: Denise Ponchak

Project: – Develop the requirement, architecture, and system level

design baselines,– and establish the evaluation testbed for the Airborne

Internet.– FY 02 Sustain Testbed Demonstrations

AI Objective: – Consolidate and integrate the exchange of CNS data.– Minimize the number of radios and antennas on an

aircraft. Goal is to provide common access means for all wireless aircraft applications.

Accelerating CNS


AI Contractor Team

Computer Networks & Software, Inc. (CNS) - Prime– Mulkerin Associates Inc. (MAI)

– Project Management Enterprises, Inc. (PMEI)

– AvCS Research Ltd.

– Microflight, Inc.

– AvCom, Inc.

– Comptel, Inc. Architecture Technologies Corporation - Prime

Accomplished the first project cycle to define the SATS AI

Accelerating CNS


System Engineering Challenge

Flight Demonstrations

Operation Readiness

Research Horizon

Today 2005 2010 2015 2020

AI

Fu

nct

ion

alit

y

Design for reaching horizon – max degrees of freedom Use an incremental approach – as Concept of Operations evolves Provide for early demonstrations of concepts Interoperate with the NAS Use an Integrated CNS approach Obtain low cost solutions

Accelerating CNS


What has been accomplished?

Preliminary Concept of Operations (using SATS concept)

AI Requirements Definition CNS Technology evaluation/tradeoff NAS/SATS infrastructure assessment Defined three candidate architectural approaches:

– Ground Centric ( M3 and UMTS - Cellular)

– Space Centric (Immarsat)

– Air Centric (Mode SATS) Performed Architecture Assessment Set-up a Testbed for the AI Mode SATS Approach Installation of AI equipment in DARTS started

Accelerating CNS


Services allocated to system entities

Information Exchange Data Objects allocated by service/ functional processes (data flows)

Entity and services relationships Reference Model

Information Exchange Needs (communications requirements )

Operational Services (based on Operational Concepts)

+ Loading

NWSNWS Aircraft 2Aircraft 2Aircraft 2

ATM SysATM Sys

NAVNAV

Aircraft 1Aircraft 1

H

FSSFSS

InternetInternet

SurveillanceSurveillance

AirportAirport

A

B

DE

F

CG

State Purpose Functions FPU WX AS MC NAV ASI PE PIE 2

00

5

Provide data for tracking aircraft on the ground.

Provide data for tracking an aircraft enroute

Support safe separation between participating traffic and airspace.

Provide data to ensure proper separation to avoid potential hazards and collisions.

Provide data to support VFR and IFR traffic separation.

Provide data to monitor flight progress.

X

State Purpose Functions A/C 1 A/C 2 Int Surv NAV FSS NWS ATM Sys

Airport

20

05

Provide data for tracking aircraft on the ground.

Provide data for tracking an aircraft enroute

Support safe separation between participating traffic and airspace.

Provide data to ensure proper separation to avoid potential hazards and collisions.



X X

Ref#

SATS UserServices

Functional Capability

1 Flight Service

File flight plans and amendments.

Process flight plans and amendments.

Provide information for flight plans.

Obtain in-flight or pre-flight weather and NAS status (NOTAMs) advisories.(Near real time and forecast, tactical and strategic)

Obtain in-flight or pre-flight traffic advisories. (Existing tactical and strategic)

Obtain in-flight NAS status advisories – current and scheduled.

2 Air Traffic Service

Provide separation of aircraft during ground operations.

Provide separation of in-flight IFR aircraft.

Avoid potential hazards and collisions.

Maintain minimum distance from Special Use Airspace (SUA).

Monitor flight progress.

Enable in-flight sequencing, spacing, and flow management for SATS aircraft.

Obtain pre-flight runway, taxi sequence, and movement restrictions.

Project aircraft in-flight position and identify potential conflicts.

Provide data to support managing use of SUA.

3Emergency andAlerting Service

Provide emergency assistance and alerts. (For downed or troubled aircraft)

Support search and rescue.

4Self-Separation andSequencing Service

Provide data to ensure proper separation to avoid potential hazards andcollisions.



Provide self-separation in NAS.

5 Navigation Service Provide airborne navigation guidance.

6Pilot/AircraftInformation Service

Provide information concerning the flight.

Enable separation of in-flight IFR aircraft.

Enable in-flight sequencing and spacing for SATS aircraft.

Provide aircraft in-flight position and identify potential conflicts.

7Aircraft and TravelService

Provide information about airport services.

Notification to owner/operator about change in aircraft availability.

Notification to owner/operator about aircraft maintenance issues.

Provide other travel related information.

8Public InformationExchange Service

Provide in-flight entertainment

Provide public communications including email and web browsing.

Information Exchange – (IE Object) Type: G/AAirspace Situation (AS) Integrity (Error Rate): High

Information Unit Size (Min, Max, Avg): 0.2 Kb, 13 Kb, 11 KbFrequency of Occurrence: 5 seconds

Applicable Interface: (Entity-to-Entity) Acceptable Delay: 5 secondsE Authentication: No

Priority: MediumRetransmission Required: NoSuitable for Addressed Communications: NoSuitable for Broadcast: YesSuitable for Multicast: Yes

Macro-Level Object Oriented Analysis Process

AI Requirements Methodology

Accelerating CNS


Entity Reference Model

NWS Aircraft 2

ATM Sys

NAV

Aircraft 1

H

FSS

Ops/Sup

Surveillance

Airport

A

B

DE

F

CG

Accelerating CNS


NAS Services/Systems

Ref # GA User Services NAS Systems

1 Flight Service FIS-B, DUATS, OASIS, AFSS,

TWIP, D-ATIS, TAMDAR

2 Air Traffic Service TIS, TIS-B, CPDLC

3 Emergency and Alerting Service

TIS-B, CPDLC

4 Self-Separation and Sequencing Service

TIS, TIS-B

5 Navigation Service LAAS

6 Pilot/Aircraft Information Service

Voice

7 Aircraft and Travel Service

Internet

8 Public Information Exchange Service

Internet

Accelerating CNS


Common Framework - Wx

N W SN W SF S SF S S

I n t e r n e t G a t e w a y

G a t e w a y

S A T S S U B N E T

L e g e n d

F P U : F l i g h t P l a n n i n g a n d U s e ( F P U )

W x : W e a t h e r

A S : A i r s p a c e S i t u a t i o n

M C : M a n e u v e r & C o n t r o l

N A V : N a v i g a t i o n

A S I : A v i a t i o n S y s t e m I n f o r m a t i o n

P A E : P i l o t / A i r c r a f t I n f o r m a t i o n E x c h a n g e

A T : A i r c r a f t & T r a v e l

P I E : P u b l i c I n f o r m a t i o n E x c h a n g e

F S S : F l i g h t S e r v i c e S t a t i o n

N W S : N a t i o n a l W e a t h e r S e r v i c e

N W I S ; N A S W i d e I n f o r m a t i o n S y s t e m

F B O : F i x e d B a s e O p e r a t o r

L A A S : L o c a l A r e a A u g m e n t a t i o n S e r v i c e: I n f o r m a t i o n f l o w

S u r v e i l l a n c e ( T I S )

S u r v e i l l a n c e ( T I S )A T C

C o n t r o l l e r

N W I SN W I S

A I - R o u t e r

D R

S A T S I E O B J E C T S

F P U W x A S M C N A V A S I P A E A T P I E

S A T S A i r c r a f t - 2 O n - b o a r d G P S R X

O n - b o a r d G P S R X

S u b n e t

A I - R o u t e r

D R

S A T S I E O B J E C T S

F P U W x A S M C N A V A S I P A E A T P I E

S A T S A i r c r a f t - 1 O n - b o a r d G P S R X

O n - b o a r d G P S R X

S u b n e t

F B O ( L o c a l A i r p o r t )

L A A SL A A SG l o b a l I n t e r n e t

G l o b a l I n t e r n e t

O p e r a t o r s / S u p p l i e r sO p e r a t o r s / S u p p l i e r s

S e n s o r T A M D R

Accelerating CNS


SATS Flight Profile – Comm Load

GND

TransitionAirspace

0 10 20 30 40 50 60 70 80 90 100 110 120

Low Altitude Free Flight Airspace

High Altitude Free Flight Airspace

High Altitude Sector

En Route

Low Altitude Sector

GND

TransitionAirspace

0 10 20 30 40 50 60 70 80 90 100 110 120

Low Altitude Free Flight Airspace

High Altitude Free Flight Airspace

High Altitude Sector

En Route

Low Altitude Sector

All Messages FPU MC ASI AT PAE AS WX NAV Total

Message Load - Flight (Kb) 3,250 10,000 900 3,300 18,000 15,984 13,192 20,304 84,930

Average Message Load (Kbps) 0.45 1.39 0.13 0.46 2.50 2.22 1.83 2.82 11.80

Addressed Messages FPU MC ASI AT PAE AS WX NAV Total

Message Load - Flight (Kb) 3,250 10,000 900 3,300 18,000 35,450

Average Message Load (Kbps) 0.45 1.39 0.13 0.46 2.50 4.92

Broadcast Messages FPU MC ASI AT PAE AS WX NAV Total

Message Load - Flight (Kb) 15,984 13,192 20,304 49,480

Average Message Load (Kbps) 2.22 1.83 2.82 6.87

250 aircraft within a 50 mile radius of a SATS airfield = Traffic load: 11.8 Kbps

Accelerating CNS


Technology Evaluation

Near-term Technologies Technologies to be Researched

CNS Related Technologies

Architectural Toolkit

70 Technologies

Multiple Solution Technologies• General Wireless• SATCOM• Cellular• LAN

Single Solution Technologies• Protocol Related• Navigation• Surveillance

CNS RelatedTechnologiesCNS RelatedTechnologies

Accelerating CNS


SATS Technology & Architecture Relationship

2005

NDI/N2DI

Today

Dev.

2025

Limited Solution Sets

•Protocol Related

•Navigation

•Surveillance

ArchToolkit Architecture

PrinciplesArchitectureDevelopment

Arch ASpace

Centric

Arch BAircraftCentric

Arch C Ground Centric

Arch DHybrid (s)

AI Requirements (Est.)

Technology EvaluationTask

Architecture DevelopmentTask

AI Testbed and DesignTasks

Multiple Solution Sets

•Wireless (General)

•Wireless (SATCOM)

•Wireless (Cellular)

•LAN

CandidateArchitectures

Technology DesignSpecifications

Legend

NDI = Non-Developmental Item

N2DI= Nearly Non-Developmental Item

Est. = Estimated

Technology (“+” = adds, “-” = deletes)

New TechnologyExample Only

(+)

(-)

(++)

(-)

Accelerating CNS


SATS AI Architectures

Space Centric Architecture

Internet(VPN)

LOS CoverageLOS Coverage

Enroute

MIS M&ECPUs

NOCC

LAAS Station

LAAS Monitor Airport

SurveillanceSource (TIS-B)

ATCController

Network OperationsControl Center (NOCC)

GPS

Gateway

GES

ATC Controller

SATS Services • PAE (air-to-air)•AS (ADS/TIS)

NAS Services• ATM System• HUB Airports• MC (CPDLC like)

LOS Coverage

LOS Coverage

Enroute Base Station

Enroute Base Station

Airborne router

AIRPORT SURVEILLANCE

SOURCE (TIS-B)

LAAS MONITOR

LAAS STATIONVDL/S BASE STATION

VDL/S Network OperationsControl Center (NOCC)

INTERNET

FPUWXASIPIE

Gateway

GPS

Air Centric Architecture

NWSFSS

InternetGatewayGateway

Legend

FSS: Flight Service Station

NWS: National Weather Service

NWIS; NAS Wide Information System

FBO: Fixed Base Operator

LAAS: Local Area Augmentation Service

RNC: Radio Link Control

MSC: Mobile Switching Center

SGSN: Serving GPRS Support Node

GGSN: Gateway GPRS Support Node

Surveillance(TIS)ATC

Controller

NWIS

FBO (Local Airport)

LAASGlobalInternet

RNC RNC

MSCSGSN

GGSN

MSCSGSN

GGSN

Node B

Core Network

Access Network

Ground Centric Architecture

Ref Principle

1 Provides the means to fully support the functional services.

2 The AI will be separable into platform specific systems defined asthe CMS and a system defined NMS. To this extent the architecturewill modular.

3 The mechanisms and techniques employed with the AI will be self-organizing.

4 All communication, to the extent practical, will be performedthrough a primary means of communication.

5 Within the AI there will be no single point of failure.

6 The system will be constructed using open system standards.

7 The interface to the NAS (enroute, terminal controllers) will bethrough a gateway facility.

8 Provide for interfaces to the entities shown in the Entity relationshipModel.

9 Provide for information and operational security.

Architecture Principles

Accelerating CNS


Cost– On-board and off-board cost components– Infrastructure requirements – Overlay on existing or new infrastructure

to support SATS AI– SATS dedicated infrastructure or shared

(and paid for) by other users– Use of airport area as cost model

Availability– Time horizon

Performance– Adherence to AI architectural principles– Functional requirements– Bandwidth sizing– Reliability – redundancy– Delay

Scalability Risk Assessment

Evaluation Factors

Evaluation Factors and Architecture Models

Candidate Architectures for Comparison

Accelerating CNS


AI Architectural Evaluation Results

Aircraft Centric Architecture– Meets SATS requirements– Low risk, low cost, near COTS option– ICAO standards based with multiple hardware vendors

Space Centric Architecture– Available as a service now– Existing aircraft can be upgraded to this service– Transition higher bandwidth with Inmarsat-4

constellation Ground Centric Architecture

– UMTS technology has no inherent show stoppers and meets SATS requirements

– High risk - dependence on commercial aviation for development, certification and deployment of technology

Accelerating CNS


Architectural Principles

AI Testbed Objectives - Build A

Tell me About the Testbed

Provide a ‘Hands-on” technical platform to assess the principles and design of the Airborne Internet concept.

Provide an affordable platform using COTS products.

Provide base for additional technology insertion.

Installed Technology

VHF Data Link (air-centric Mode SATS)

TCP/IP

Peer-to-Peer (connectivity)

Emulated SATS Applications

ADS-B, ATN CPDLC, FIS-B graphicalweather, Pilot/Aircraft information exchange,and email

Scalable

Accelerating CNS


Testbed – Build A with Mode SATS

Aircraft N382

AIRouter

Mode SATS Radio

P-P/CPDLC

ADS-B, Chat, Weather, NOTAMS

N382

Aircraft N384 Ground Facility

Remoteemail

Servers

RemoteEquipmentMonitoring

ModeSATS Radio

P-P/CPDLC

N384

AIRouter

ADS-B, Chat, Weather, NOTAMS

Mode SATS Radio

P-PPAE

GroundStation

CPDLCAI

Router

ADS-B

Aircraft N372,374 & 376

Web EnabledStatus Monitor

NetworkControlCenter,

Bethesda,MD

DNS

Firewall

E-mail,PAE

ADS-B, ChatWeather, NOTAMS

Internet

ModeSATS

Network

Accelerating CNS


Demonstration Applications

ADS-B Air-Air Chat FIS-B Textual Weather FIS-B Graphical Weather NOTAMS CPDLC Email Remote Monitoring Equipment Status Internet access using Browsers Video Frames/ Net Meeting Peer to Peer Tool

Accelerating CNS


FIS-B Weather Data Flow

N382 Air AIRouter

Radio

Radio

Ground AIRouter

Collector

ViewerBrowser

Sequencer

N382 Air AIRouterCollector

ViewerBrowser

Remotee-mail

Servers

Radio

Internet

weather.noaa.govwww.awc-kc.noaa.gov

Accelerating CNS


FIS-B Graphical Weather

Accelerating CNS


FIS-B Textual Weather Report

Accelerating CNS


NOTAMS

Accelerating CNS


Configuration and integration work represented a “one of a kind” rapid prototype of the airborne internet.

Airborne Internet Testbed Summary

VDL Mode SATS point-to-point and broadcast communication capability: – Air-to-air, self organizing, peer-to-peer

communication– Functionality/interoperability

Demonstrated “all-in-one” AI connectivity.

Internet connectivity. Integrated hardware/software

components from many suppliers. Successfully implemented and tested the

software based router for SATS AI. Demonstrated at ICNS 2002 and to

more than 100 government and industry representatives

Integrated Components

Mode SATS VHF Radio

EFR 300 Ground Station

VDL Mode Subnet Emulation using RF Attenuator

ADS-B Position Reporting System

FIS-B Graphical Weather Products

FIS-B Textual Weather

ATN CPDLC

Aircraft/Aircraft Chat

Netscape

E-mail Application

Web-enabled Remote Equipment Status Monitor

Aircraft Mobility Based on DNS

Intel-based Workstations and Sun Workstations (Ultra 10)

Accelerating CNS


Proposed Testbed B+ Enhancements

Perform test & measurement activities Add applications Add SATCOM Configure for VDL M2, M3 and 802.11

Accelerating CNS


Conclusions

Strong reason to employ the AI is to minimize the number of radios and antennae needed for data communications on GA/SATS aircraft.

Analysis and demonstrations indicate that the technology is available to implement the AI. – Bandwidth analysis for existing and near term NAS

related systems indicates that the traffic load generated by the diverse applications can be supported using a single 25 KHz VHF frequency.

– Analysis did not consider the issues associated with combining and transmitting traffic control, surveillance and navigation data on a single radio.

Accelerating CNS


Conclusions

Testbed demonstration showed that a single AI VHF radio per aircraft could provide weather and NOTAMS plus traffic control and surveillance data to the pilot. – Demonstrations focused on the feasibility of combining

data from diverse applications.

– Performance of the AI in terms of delay was not measured.

– Once the AI equipment is installed in the DARTS, experiments can be undertaken to measure performance and confirm that the AI is a preferred data link solution for GA aircraft.

Accelerating CNS


DARTS Project Summary - 1

Project: – Deliver equipment, software, documentation and technical

support necessary for the installation (by Government personnel) of the AI capability into existing Digital Infrastructure Facility (DIF) and two aircraft platforms.

– Develop additional specification documentation of the AI architecture and system design.

Work Plan:– 7 Tasks (6 CLINs)– Equipment Delivery – 119 days ARO– Documents (ASI and AI FDD)– Support – NTE 240 hours

Contractor Team:– Computer Networks & Software, Inc. (CNS) - Prime– Project Management Enterprises, Inc. (PMEI)– Mulkerin Associates Inc. (MAI)– Microflight

Accelerating CNS


SATS/DARTS AI System Components

Accelerating CNS


Proposed DARTS Facility

Accelerating CNS


Current AI Status

SATS AI Demonstrations– Testbed “Build A” Demonstrations (ended 9/30/02)

– Delivered Subnetwork Interface Document

– Conducted demonstrations for more than 100 government and industry representatives.

DARTS AI Upgrade – AI Subsystem for LaRC and 2 aircraft pallets

– Configuration Review Complete

– Final Applications Interface Reviewed and Delivered

– Draft AI Functional Description Submitted for Review

– Delivery (Jan 03)

Accelerating CNS


AI Roadmap

Mission/OperationalConcept

Future (NAS/SATS)

Surveillance Vision

AI System Design

ICNS Requirements

Architecture Candidates &Trades

AI Functional Description

SATS AI Requirements (FY01)

SATS AI Tech Eval & Architecture (FY01)

FY02

IP Technology:• Data Transport (UDP/TCP)• Mobility• Security• QoS• Network Management

SID

NASID

AI Test Platform Development

VD

Ls

SAT

S

802.

11/1

6

Test Evaluation

Validation/Reporting

Flight Tests & Demonstrations

Flight Tests

• Performance• Availability• Design to Cost• Hybrid

Test Plan

AI Design & Use VDL,SAT, 802.11/16

Industry Standards RTCA,AEEC

Incr

emen

tal C

ycle

s

Accelerating CNS


Summary

2002 Insights– AI really means integrated CNS vision

– Initial work supporting a switch in context from

a SATS-centric vision to: » A generic approach having data link independence

» A vision that includes an AI concept that is a NAS-wide tool

Issue:– Use of IP-based protocols in aviation systems

» Consensus on acceptability of functionally and performance

– Change in regulatory framework 2003

– Objective: Build a consensus framework for evaluation

Accelerating CNS


Contacts

Computer Networks & Software, Inc.

7405 Alban Station Ct.Suite B-225

Springfield, VA 22150-2318

Chris Wargo orChris Dhas 703-644-2103

[email protected], [email protected] http://www.CNSw.com

Accelerating CNS


What is Mode SATS

Based upon Self-Organizing VHF Data Link using GFSK modulation (peer-to peer technique).

Builds upon the core ICAO navigation-surveillance standards for VHF datalink.

Allows aircraft-to-aircraft switching (ad hoc networks) for AI communications.

Single channel data burst rate is 19.2 Kbps.– Significant data throughput improvements through

wide-band or multichannel techniques. Frequency tuning range:

– Today: 108 - 137 MHz

– Researching 330 MHz or higher usage

Accelerating CNS


Freq (MHz)

Time

137

118

108

ADS-B/ reservation channel

LAAS

DOS, Location-ID discovery, short message and info transfer reservations.

FIS-B

Variable lengthinfo transferchannels

BROADCAST CHANNELS

Note: Minimum equipage required is frequency agile avionics with 2 receivers + 1 transmitter

TIS-B

Test mode: Development and testing by use of multiple-mode VHF 25 KHz hardware.Operational mode: One wide-band with priority based TDMA channelization or multiple narrow band

channels dynamically assignable to meet requirement.

Information (Data) Transfer Scheme

Accelerating CNS


Systems Engineering/Architecture Project

GA Operational Concept for Year 20XX

– Prepare Operational/System Requirements Update Architecture Requirements

– Update/revise Traffic Loading Metrics

– Update Architectures Models

– Add Hybrid Approach Analysis Update AI Functional Description Document

Accelerating CNS


GA AI Laboratory/Flight Project

Objective: Provides facility for test and measurement of AI Technology– IPOv4 and IPv6, Mobile Networking IPv4 – IPv6,

Network Management, Addressing Schemes, Security, QoS, and Software MANET or Equivalent

Tasks:– Establish WHJTC AI Testbed

– Prepare a System Design Document

– Conduct Testbed/Flight Experiments» Level of detail subject to funding

» Measurement of performance

– Development of additional applications

Accelerating CNS


VDL M2 and VDL M3 Approaches

Objective: Determine the approach for using IP over VDL M2 or M3.

Tasks:– Configuration and Design Development

– Development & Acquisition

– Test Facility Set-up

– Analysis & Test

– Report and Dissemination of Results

Accelerating CNS


Integrated CNS Standardization

Determine Regulatory approach– Multiple applications on single channel

– Use of IP for ATC Preliminary Safety and Certification Study

– Links operational tasks and technical performance