Tactical network modeling and simulation study
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Tactical Network Modeling and Simulation Study. Swapnaja Ranade Michael Stephano. Agenda. Scenario description Network model Results and analysis Conclusions. Problem Statement. Observe relationship between physical layer parameters and network layer parameters for a tactical network.

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Tactical Network Modeling and Simulation Study

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Tactical NetworkModeling and Simulation Study

Swapnaja Ranade

Michael Stephano


Agenda

  • Scenario description

  • Network model

  • Results and analysis

  • Conclusions


Problem Statement

  • Observe relationship between physical layer parameters and network layer parameters for a tactical network.


Approach

  • Model a highly mobile tactical network in OPNET and observe parameters through simulation.


Network Topology and Scale

  • 2 M1A2 tank companies

    • 28 total nodes

    • 20 minute simulation duration

    • 4.5 km x 4.0 km playbox


Company Hierarchy

1st Platoon

2nd Platoon

3rd Platoon

HQ


Battle Phase

March Phase

Bravo Company

Alpha Company


Radio Propagation

  • 1 W transmission power

  • Omni-directional antenna

  • Antenna height of 3 meters

  • DTED terrain data used

  • TIREM4 propagation model

  • Data rate used is 11Mbps


Network Protocols Used

  • 802.11b

  • AODV

  • IP

  • Represented by OPNET MANET node model


Mobility Model

  • M1A2 Characteristics

    • 30 mph mean speed

    • 17 mph 10% slope

    • 4.1 mph 60% slope

  • MATLAB Model

    • Incorporates DTED data

    • Speed linearly interpolated based on slope

    • MATLAB was used to generate trajectory files


Simulation Metrics Collected

  • Physical Layer

    • Received Power

    • SNR

    • BER

  • Network Layer

    • Throughput

    • Delay

    • Packet Loss Ratio


OPNET Demo


Traffic Model

  • Position Updates

  • Sensor Updates

  • VoIP Traffic

  • Other Traffic


Packet Tx/Rx Rate


Data Collected

Time Power SNR BER Throughput Latency PLR

0.0 1.5170e-09 41.3 0 3.5738e+05 6.8342e-03 3.0769e-02

1.0 1.7490e-09 38.8 0 7.3606e+05 4.5720e-03 1.9084e-02

2.0 2.0140e-09 39.8 0 1.1087e+06 1.1524e-02 1.4566e-02

3.0 2.2980e-09 39.1 0 1.1307e+06 5.5088e-03 8.0000e-03

4.0 2.6500e-09 39.4 0 1.1183e+06 5.6622e-03 5.3814e-03

5.0 3.1420e-09 39.6 0 1.1235e+06 5.6514e-03 4.5524e-03

6.0 3.7640e-09 39.7 0 1.1168e+06 5.6525e-03 3.3827e-03

7.0 4.3330e-09 39.9 4.10e-11 1.1325e+06 5.4484e-03 2.5316e-03

8.0 4.8420e-09 40.0 0 1.1132e+06 5.6375e-03 2.3791e-03

9.0 5.4510e-09 40.1 2.20e-11 1.0724e+06 9.8462e-03 6.9111e-03

10.0 6.1950e-09 43.5 4.20e-11 1.0481e+06 3.1363e-02 1.3079e-02

11.0 8.1250e-09 43.8 0 1.0414e+06 4.6925e-02 2.0159e-02

12.0 1.2111e-08 42.3 1.19e-10 1.2502e+06 1.3544e-01 9.9167e-03

13.0 1.9789e-08 40.4 6.75e-10 1.1259e+06 5.7345e-03 9.0520e-03

14.0 3.8793e-08 40.7 0 1.1313e+06 5.9660e-03 8.4907e-03

15.0 5.6273e-08 42.7 0 1.1161e+06 6.1210e-03 8.0972e-03

16.0 5.8653e-08 43.8 0 1.1164e+06 5.9077e-03 7.6680e-03

17.0 3.6067e-08 41.0 0 1.1186e+06 5.9030e-03 7.5138e-03

18.0 2.3554e-08 38.7 1.20e-11 1.1191e+06 6.4405e-03 6.8883e-03

19.0 1.6607e-08 37.9 0 1.1302e+06 6.0194e-03 6.5212e-03


Covariance Matrix


Correlation Matrix


Correlation Expectations


Correlation MatrixBased on OPNET Sim Data


Linear Regression (Native Units)Power vs. Packet Loss Ratio

y = mx + b

m = -2.48 x 106

b = 0.0935


Linear Regression (Z Scores)Power vs. Packet Loss Ratio

y = mx + b

m = -0.3624

b = 0


Linear RegressionSNR vs. Throughput

y = mx + b

m = 9.62 x 103

b = 5.41 x 105


Linear RegressionThroughput vs. Packet Loss Ratio

y = mx + b

m = 9.62 x 103

b = 5.41 x 105


OPNET Model IssuesDiscovered By Analysis

  • SNR model

    • Mathematical issue

    • Correctable in OPNET with modifications

  • BER model

    • Inadequate OPNET modulation curves

    • Correctable in OPNET with modifications


Modulation CurveProduced Analytically

r = -0.5621


Conclusions

  • Correlation analysis

    • Power and SNR exhibit fairly strong correlation to network parameters

    • Low BER correlation due to model, not real effect

  • Regression analysis

    • Useful but of limited utility

  • Choosing appropriate physical layer data


References

  • G. Kelsch, M. Roberts, and D. Harris. Toward New Tactical Network Modeling and Simulation Approaches. In IEEE Military Communications Conference, pages 2396-2401 Vol. 4, October 2005.

  • United States Army Field Manual. FM 17-15 Tank Platoon. April 1996.

  • M.J. Ryan and M.R. Frater. Tactical Communications for the Digitized Battlefield. Artech House, Norwood, MA, 2002.

  • S.K. Kachigan. Multivariate Statistical Analysis: A Conceptual Introduction, 2nd Edition. Radius Press, New York, NY, 1991.

  • General Dynamics M1A2 Abrams Specifications Sheet.


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