BBNT 1099PIMtg Int&Exp p1 BBN Technologies An Operating Unit of SenseIT Integration &...

BBNT 1099PIMtg Int&Exp p1

BBN Technologies

An Operating Unit of

SenseIT Integration & Experimentation

SenseIT PI Meeting October 8, 1999


BBN Technologies


Agenda

What Is Unique About SenseIT System Architecture Integration Process FY00 Experimentation


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What is Unique About SenseIT

Mul

ti-Ta

skin

g

Dyn

amic

Re-

task

ing

Sca

labl

e

Gra

cefu

l Deg

rada

tion

Sel

f org

aniz

ing

Long

evity

Nod

e/U

ser

mob

ility

Eas

e of

Use

Per

form

ance

Advanced Routing Techniques X X X X X X X X

Mobile Code X X X X X X X

Declarative Language Interface X X X X X

Tactical Oriented user interface X X X X X

Collaborative Processing X X X X

Advanced Communications Techniques

X X X X X X

Distributed Processing X X X X X X X X

Distributed Database Structure X X X X X X

Automated management of distributed tasking vs resources

X X X X X X X X X

Enabling Information Technology

SenseIT provides a wide range of user benefits through integrated information technologies

Unique User Benefits Provided by SenseIT


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System Architecture


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InfoPInfoP

Node Architecture

Sensor HW

Data Acq. Module

Data Acq. API

HighLevelInfo

TimeSeries

Detect/ClassifySigP InfoP

DeviceStatus

(Local &Neighbor)

MobileCode

Data InterestSubscriptions

FunctionManager

Data Management Interface

Message Handling

Network Routing

Flow Control Services

Communications API

Communications Hardware

Tamper Sensor

SecurityManager

Exp

eri

me

nt S

upp

ort

an

d C

on

tro

l

GPS

Repositories

HardwareComponents

SoftwareModules

Platform & O/S independent distributed services


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Data Management Interface Layer

Node DataRepository

Access[TS, DC, HI, DS]

ReadAccess

WriteAccess

QueryEngine/Proxy

S e c u r i t y S e r v i c e s

Network and Communications Layers

Data Repositories and Functional Managers

FunctionRequestHandler

MobileCode

Manager[MC]

DataSharing

& TriggerManager

DataSubscribeManager

[DI]


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User Platform Architecture

Operator GUI

DB Proxy

Manager

DB Language Query

Generator

Data Access & Store

Function Request

Generator

Mobile Code

Manager

TimeSeries

Detect/Classify

HighLevelInfo

DeviceStatus

MobileCode

Gateway Passthrough

Message Handling

Network Routing

Flow Control Services

Communications API

Communications Hardware

Ethernet ConnectionTCP/IP wrapped sensor net message

Gateway Node

User Platform

Experiment Monitor & Control GUI

S e c u r i t y S e r v i c e s

SecurityManager


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Integration Process


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Philosophy

Need to keep a working system at all times Facilitates research and experimentation

Strive towards hardware independence Avoid limiting choices, hardware will evolve over time

Ability to juggle between research and experiments Developers always invested in the process


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Schedule

Integration schedule driven by experiment schedule Experiments are critical to the success of the program

Detailed schedule in-progress Identify dependencies and requirements now

Need resource estimates (CPU, memory) ASAP Dependency specifications (at least) for December

Staggered schedule to reduce risk, ease development and integration Integration task impossible if everyone delivers at once Developers’ access to previously tested working code reduces

problems


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Communications

Weekly Telecons Tuesdays at 2P Eastern, 11A Pacific (tent.) Starts October 12 (tent.) Raise issues to the community Identify schedule problems early

Quarterly Meetings Jan 2000 Preparation for first experiments

Use senseit_all, senseit_pi, senseit_bbn Integration website for documentation, other information

(http://javamap.bbn.com:4840)


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Deliveries

Software Needs to meet predefined system requirements to support

experiments May only deliver a subset of research development - research

not completely driven by operational requirements Upload software to website to begin integration testing process Website holds repository of tested software available for

download

Hardware Delivered hardware catalogued and a sample set aside for

configuration management


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Testing

Test procedures collaboratively developed ahead of delivery Must address experiment needs Can address research, other issues

Developers involved with testing process Only people with complete understanding of delivered software Testing complete and software available to community faster

Please, no software development during testing Of course, bug fixes are OK

Tests run over two-week period


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Testing (continued) Successful test completion

Interfaces with other delivered software Meets predefined system functionality Then released to others on website Documented test results also available on test site

Debugging libraries Need developers to contribute to and use debugging libraries Lots of players in a small box Test with and without debug


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FY00 Experimentation


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Experimentation Overview

Experimentation Provides Data for on-going development Opportunities to showcase technologies in operational setting Schedule Framework

Notional Plan 1 field experiment / FY 1 or more lab experiments / FY Lab experiment is precursor to field experiment

FY00 Experiment Initial plan in place

FY01&02 Experiments Depend on achievable development schedule


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FY00 Experiment Goals Wring out basic end-to-end functionality & operability

Establish performance baseline

e.g. sensing performance, network traffic, latency, scaling, survivability, etc.

Highlight unique features (expand as devel. permits)

User Benefits Multiple users/tasking, dynamic (re)tasking, basic collaborative

processing

Enabling Technologies Declarative languages, mobile code, advanced routing techniques,

collaborative processing, tactical user interface

Gather data to aid PIs in further development efforts

Program must balance experiment “reach” vs. “risk”Requires prioritization


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FY00 Experiment Scenario - Overview Transporter Erector/Launchers (TELs) are on the move Command needs to determine when and where they are moving. Plan

Deploy sensor groups over a wide area. Use sensors to determine TEL traffic patterns. Send in Special Operations Force (SOF) to confirm identification

and destroy TELs.


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FY00 Experiment Scenario - Geography

“Chokepoint”: e.g. valley or village

Roads

The scenario centers around a road intersection and a nearby

chokepoint.


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FY00 Experiment Scenario - Sensor Groups

Group #2

Sensors deployed and tasked by command with TEL/convoy surveillance. • Single function• Single Task

Group #1

Surveillance coverage

Sensor fields(10-15 nodes ea.)


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FY00 Experiment Scenario - Detected TEL traffic

Apparent TEL traffic

Surveillance reveals that TELs frequently pass through

the intersection to the “chokepoint”.


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FY00 Experiment Scenario - SOF Insertion

SOF team inserts at chokepoint and tasks both sensor groups for full surveillance (truck, small vehicles, personnel)•Mobile code•Multi-tasked sensors

Sensors continue TEL convoy surveillance for command.


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FY00 Experiment Scenario - Ambush

Team achieves positive identification, destroys targets and extracts

Group 1 sensors detect TELs moving towards chokepoint

and alert SOF team


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Baseline Scenario Provides Test basic “end-to-end” operation in realistic setting Highlight unique SenseIT benefits & technologies

Multiple users/tasking, dynamic (re)tasking, basic collaborative processing

Declarative languages, mobile code, advanced routing techniques, collaborative processing, tactical user interface

Experimental data & performance to aid PIs, e.g. Vehicle & foot traffic signatures Detection/localization/tracking performance with different

sensor combinations target types and densities noise events

Statistics on network traffic loading and latency Low risk expansion of scope as development permits


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Execution

Potential Locations 29 Palms Aberdeen Proving Grounds Other

Traffic “Targets” Heavy trucks, tanks, light vehicles (e.g. HMMVs), dismounted

personnel, other

Target Timeframe August 2000

Experimentation Practicalities Use battery eliminators (i.e. nodes are AC powered) Use Ethernet or other hard wired connection to collect data Some level of experiment monitoring resides on each node


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FY00 - Notional Surveillance Processing

Node #1

Sensor #1

Sensor #M

Single Node Detection & Identification

Node #N

Sensor #1

Sensor #M

Multi-Node Collaborative Localization

Tracking



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Mic Narrowband processing: FFT, normalization & peak picking

Acoustic Time-series

Compare to library of known targets

Acoustic Line List

Target ID

Local “Intensity”

Exchange observations with neighboring nodes: * Detect Target X * Level = Y

Geo-phone

Narrowband processing: FFT, normalization & peak picking

Seismic Time-series

Seismic Line List

Local “Intensity”

Independent Process implemented on each Node

Assume target signatures are dominated by unique tonals or lines


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Multi-Node Collaborative Localization Nodes share detection/intensity messages All nodes that hold the target estimate target location Candidate localization schemes

Location of maximum observed intensity Geographically weighted sum of measured intensities “Best fit” of measured intensities to very simple

source/propagation model


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Tracking Automated track formation performed using simple data

association algorithm Locations plotted to visualize target position versus time

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BBNT 1099PIMtg Int&Exp p1 BBN Technologies An Operating Unit of SenseIT Integration &...

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