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ONR Meeting Aug 4, 2005

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ONR Meeting Aug 4, 2005. All meetings in RICE Room 6764 BH, or in PIs Labs (afternoon demos) 8:00 – 8:30 Breakfast 8:30 – 8:40 Welcome, Intro Mario 8:40 – 9:05 Radios Babak 9:05 – 9:30 Sensor nets Mani - PowerPoint PPT Presentation
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ONR Meeting Aug 4, 2005 All meetings in RICE Room 6764 BH, or in PIs Labs (afternoon demos) 8:00 – 8:30 Breakfast 8:30 – 8:40 Welcome, Intro Mario 8:40 – 9:05 Radios Babak 9:05 – 9:30 Sensor nets Mani 9:30 – 9:55 Scalable Nets Mario 9:55 - 10:15 Break 10:15 – 10: 40 Models/Simul Rajive 10:40 – 11:05 Mobile BBN, QoS MAC Izhak 11: 05 – 11: 30 Video Encoding John Villa 11:30 - 11: 55 Stress testing; GUR Len 11:55 – 12:40 Lunch in 4760
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Page 1: ONR Meeting Aug 4, 2005

ONR Meeting Aug 4, 2005

• All meetings in RICE Room 6764 BH, or in PIs Labs (afternoon demos)• 8:00 – 8:30 Breakfast• 8:30 – 8:40 Welcome, Intro Mario• 8:40 – 9:05 Radios Babak • 9:05 – 9:30 Sensor nets Mani• 9:30 – 9:55 Scalable Nets Mario

• 9:55 - 10:15 Break

• 10:15 – 10: 40 Models/Simul Rajive• 10:40 – 11:05 Mobile BBN, QoS MAC Izhak • 11: 05 – 11: 30 Video Encoding John Villa• 11:30 - 11: 55 Stress testing; GUR Len

• 11:55 – 12:40 Lunch in 4760

Page 2: ONR Meeting Aug 4, 2005

Agenda (cont)

• Afternoon Lab visits/demos in individual PI labs

• 12:40 –1:20 Simulation Lab Rajive• 1:20 – 2:00 Sensor Lab Mani & John Villa• 2:00 – 2:40 Networking Lab Mario • 2:40– 3:20 Mobility/Net mngt Lab Izhak

• 3:20 – 3: 50 Break (in Rice Room 6764)

• 3: 50 – 4:30 Radio Lab Babak• 4:30 – 5:30 Debriefing Rice Room 6764

• 6:30 - 8:00 Dinner in Westwood

Page 3: ONR Meeting Aug 4, 2005

The AINS Program at UCLAThe AINS Program at UCLA AINS review, Aug 4, 2004AINS review, Aug 4, 2004

• 5 year research program (Dec 2000 – Dec 2005) 5 year research program (Dec 2000 – Dec 2005) • 7 Faculty Participants: 3 in CS Dept, 4 in EE Dept7 Faculty Participants: 3 in CS Dept, 4 in EE Dept• GoalGoal: design a robust, self-configurable, scalable : design a robust, self-configurable, scalable

network architecture for intelligent, autonomous network architecture for intelligent, autonomous mobile agentsmobile agents

Page 4: ONR Meeting Aug 4, 2005

SURVEILLANCE MISSION

SURVEILLANCE MISSION

AIR-TO-AIR MISSION

STRIKE MISSION

FRIENDLY GROUND CONTROL

(MOBILE)

RESUPPLY MISSION

SATELLITE COMMS

Unmanned Control Platform

COMM/TASKING

COMM/TASKING

MannedControl Platform

COMM/TASKING

UAV-UAV NETWORK

Algorithms and Protocols for a Network of Autonomous Agents

UAV-UGV NETWORK

Page 5: ONR Meeting Aug 4, 2005

Multilayer ArchitectureMultilayer Architecture

FLIRFLIR

Page 6: ONR Meeting Aug 4, 2005

The Radio ComponentThe Radio ComponentThe need for an innovative radio solutionThe need for an innovative radio solution• Wide diversity of radio requirements across network – Wide diversity of radio requirements across network –

(bandwidths, ranges, channels) (bandwidths, ranges, channels) • Enemy Jamming, LPI, LPD Enemy Jamming, LPI, LPD • Adaptive to fast-fading channel impairments Adaptive to fast-fading channel impairments • Technology: Technology: OFDM MIMO based systolic radiosOFDM MIMO based systolic radios

20 kbps

300 kbps

128 kbps128 kbps

2 Mbps

10 Mbps

20 Mbps

Page 7: ONR Meeting Aug 4, 2005

Mobile Sensors Provide Situational-Mobile Sensors Provide Situational-AwarenessAwareness

Page 8: ONR Meeting Aug 4, 2005

ANet 3

Hierarchical Configuration of UV-aided Mobile Backbone Network (UV-MBN)

Hierarchical Configuration of UV-aided Mobile Backbone Network (UV-MBN)

Backbone NodeGateway

ANet 1

ANet 2

ASPN 1

ASPN 2

Page 9: ONR Meeting Aug 4, 2005

swarmswarm

Command postCommand post

Swarm Swarm LeaderLeader

Swarm Multicast

Page 10: ONR Meeting Aug 4, 2005

Video from sensors to Video from sensors to CommanderCommander

FLIRFLIR

Page 11: ONR Meeting Aug 4, 2005

Unique Image Processing/Analysis Unique Image Processing/Analysis CapabilitiesCapabilities

• ““Region of Interest” (ROI) Region of Interest” (ROI) capabilities enabling much higher capabilities enabling much higher resolution in one or more areas of resolution in one or more areas of the image – enables targets to be the image – enables targets to be readily tracked and identifiedreadily tracked and identified

• ““Mosaicking of images in Mosaicking of images in error-prone transmission error-prone transmission environmentsenvironments

Page 12: ONR Meeting Aug 4, 2005

Hybrid Simulation and Hybrid Simulation and evaluation componentevaluation component

Small-scale Real Testbed

Simulated large-scale network

Access Nodes & Hybrid Simulation Server Cluster

Internet

Page 13: ONR Meeting Aug 4, 2005

Stress TestingStress Testing

• Find natural limits: Find natural limits: • of the single components of the single components • of the integrated networkof the integrated network

• understand how an attacker can (even understand how an attacker can (even partially) destroy the networkpartially) destroy the network

• make the networks more resilient to make the networks more resilient to attacksattacks


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