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
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
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
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
Multilayer ArchitectureMultilayer Architecture
FLIRFLIR
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
Mobile Sensors Provide Situational-Mobile Sensors Provide Situational-AwarenessAwareness
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
swarmswarm
Command postCommand post
Swarm Swarm LeaderLeader
Swarm Multicast
Video from sensors to Video from sensors to CommanderCommander
FLIRFLIR
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
Hybrid Simulation and Hybrid Simulation and evaluation componentevaluation component
Small-scale Real Testbed
Simulated large-scale network
Access Nodes & Hybrid Simulation Server Cluster
Internet
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