ONR%20Meeting%20Aug%204,%202005

1
ONR Meeting Aug 4, 2005

• All meetings in RICE Room 6764 BH, or in PIs Labs
  (afternoon demos)
• 800 830 Breakfast
• 830 840 Welcome, Intro Mario
• 840 905 Radios Babak
  
• 905 930 Sensor nets Mani
• 930 955 Scalable Nets Mario
• 955 - 1015 Break
• 1015 10 40 Models/Simul
  Rajive
• 1040 1105 Mobile BBN, QoS MAC
  Izhak
• 11 05 11 30 Video Encoding
  John Villa
• 1130 - 11 55 Stress testing GUR
  Len
• 1155 1240 Lunch in 4760

2
Agenda (cont)

• Afternoon Lab visits/demos in individual PI labs
• 1240 120 Simulation Lab
  Rajive
• 120 200 Sensor Lab
  Mani John Villa
• 200 240 Networking Lab
  Mario
• 240 320 Mobility/Net mngt Lab Izhak
• 320 3 50 Break (in Rice Room 6764)
• 3 50 430 Radio Lab
  Babak
• 430 530 Debriefing
  Rice Room 6764
• 630 - 800 Dinner in Westwood

3
The AINS Program at UCLA AINS review, Aug 4,
2004

• 5 year research program (Dec 2000 Dec 2005)
• 7 Faculty Participants 3 in CS Dept, 4 in EE
  Dept
• Goal design a robust, self-configurable,
  scalable network architecture for intelligent,
  autonomous mobile agents

4


SATELLITE
COMMS
SURVEILLANCE

MISSION
UAV-UAV NETWORK
COMM/TASKING
COMM/TASKING
Unmanned
UAV-UGV NETWORK
Control Platform
COMM/TASKING
Manned
Control Platform
Algorithms and Protocols for a Network of
Autonomous Agents
5
Multilayer Architecture
FLIR
6
The Radio Component

• The need for an innovative radio solution
• Wide diversity of radio requirements across
  network (bandwidths, ranges, channels)
• Enemy Jamming, LPI, LPD
• Adaptive to fast-fading channel impairments
• Technology OFDM MIMO based systolic radios

7
Mobile Sensors Provide Situational-Awareness
8
Hierarchical Configuration of UV-aided Mobile
Backbone Network (UV-MBN)
ANet 1
Backbone Node Gateway
ANet 2
9
Swarm Multicast
Swarm Leader
swarm
Command post
10
Video from sensors to Commander
FLIR
11
Unique Image Processing/Analysis Capabilities

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

• Mosaicking of images in error-prone transmission
  environments

12
Hybrid Simulation and evaluation component
Simulated large-scale network
Access Nodes Hybrid Simulation Server Cluster
Small-scale Real Testbed
Internet
13
Stress Testing

• Find natural limits
• of the single components
• of the integrated network
• understand how an attacker can (even partially)
  destroy the network
• make the networks more resilient to attacks