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HPC use in Testing Ad Hoc Wireless Sensor Networks

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Presentation on theme: "HPC use in Testing Ad Hoc Wireless Sensor Networks"— Presentation transcript:

1 HPC use in Testing Ad Hoc Wireless Sensor Networks
Ken LeSueur Redstone Technical Test Center April 22, 2009

2 Wireless Sensor Network Testbed
Need: Realistic testing of wireless tactical networks Networked sensors and sensor fusion systems Networked systems require the network to stimulate the system, unlike stand alone systems that can be tested in isolation A real-time network emulation with interfaces to real systems that forces perception and response as they would in the real world Current test methods are not adequate for testing tactical wireless network hardware in realistic battlefield environments 2

3 Proposed Approach Proposed Approach
Combine Parallel computing resources Scalable, high fidelity network emulation Computer Generated Forces (CGF) model Testing of sensor hardware is facilitated by Network emulation that will allow interfacing of sensor hardware with virtual components to produce operationally realistic numbers of network nodes 5,000 to 10,000 for a future Brigade Combat Team 3

4 Example of Multi-Layered Network
4

5 Example of Multi-Layered Network
UAS Networked Missiles UGV Sensors UGS 5

6 Tactical Scenario Tactical Scenario 6 6 NLOS-LS EO/IR Node Gateway
Track Msg (WNW) Detection Msg EO/IR Node Track Message (SRW) Gateway Node 6 6

7 Tactical Scenario Tactical Scenario 7 7 NLOS-LS EO/IR Node Gateway
Detection Msg EO/IR Node Track Message (SRW) Gateway Node 7 7

8 Tactical Scenario Tactical Scenario 8 8 NLOS-LS Fire Msg (WNW) EO/IR
Detection Msg EO/IR Node EO/IR Command Msg Gateway Node 8 8

9 General Requirements Real-Time Operation
Interface to real tactical network hardware Real-Time Operation Parallel Implementation to scale for large number of nodes Support for Military standard Joint Tactical Radio Systems (JTRS) Soldier Radio Waveform (SRW) Wideband Networking Waveform (WNW) 9

10 Test Bed Design Test Bed Design
Sensor Hardware HWIL Interface Network Simulation (QualNet) Wireless Network Interface In-band Stimulation Node Positions On Terrain Physical Stimulator Computer Generated Forces Model (OneSAF) Infrared Visible Seismic Acoustic 10

11 Unattended Ground Sensor Example
Tactical Unattended Ground Sensor QualNet Network Simulation Gateway Node SRW Wireless Interface Ethernet In-band Acoustic/Seismic Stimulation HPC Node Positions On Terrain OneSAF 11

12 Delivery/Integration
System Configuration Delivery/Integration August 2009 12

13 Subsystem Test & Analysis Branch Facilities
Distributed Test Control Center (DTCC) / High Performance Computer (HPC) Labs Capabilities: Spans from Pure Simulation to Hardware Integration Utilizing HWIL Assets for both Lab and Field Environments Classified and Unclassified Networking and Computing 92+ Microprocessors and Access to HPC Resources Advanced Multi-User KVM Switching to All Computers Fiber Links to All RTTC Labs and Ranges Defense Research & Engineering Network (DREN) Connection (OC-12 with OC-3 Guaranteed) Host of Simulation, Visualization, Network Monitoring and Data Recording Software Suites Video Processing, Recording and Distribution Simulated Tactical Radio Communications Capability HPC Control Area HPC Lab Bullets: DTCC DTCC

14 Initial Testbed Efforts
Results Initial Testbed Efforts Analysis of scalability of Network emulation and HWIL testing/simulation Analysis of performance as a function of fidelity (path loss modeling, terrain model, interference modeling, jamming/attacks, power/battery model, data acquisition, etc.) 14

15 Test Setup Test Setup Purpose: Evaluate number of Nodes, number of processors, and simulation complexity on real-time testing. HWIL interfaces linking live video Server/Client UDP Generator Rude/Crude used for quantitative measurements 512 kbps UDP/Video Stream wireless protocol 2 Mbps wireless subnets Monitor Real-time performance while adjusting number of nodes, subnets, and background traffic 15

16 HWIL Interface HWIL Interface
- Virtual Node - Simulated Node 16

17 Performance Data Performance Data
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18 Performance Data 18

19 Performance Data Cont. 19

20 Conclusion Conclusion
Using the scenarios outlined in this testing, approximately 750 simulated wireless network nodes can be simulated on a two processor computer while simultaneously interfacing to two external HWIL networked systems passing live streaming video Parallel efficiency is approximately 65% for a node scenario running on 2 processors (Expand when HPC delivered) Performance thresholds can be measured but the results are highly scenario dependent 20


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