Sybot an adaptive and mobile spectrum survey system for wifi networks
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Sybot : An Adaptive and Mobile Spectrum Survey System for WiFi Networks. Kyu-Han Kim, Alexander W. Min,Kang G. Shin Mobicom 2010 - Twohsien 2010.12.08. OUTLINES. Motivations Architecture System Prototype Evaluation Conclusion. OUTLINES. Motivations Architecture

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Sybot : An Adaptive and Mobile Spectrum Survey System for WiFi Networks

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Sybot:An Adaptive and Mobile Spectrum Survey System for WiFi Networks

Kyu-Han Kim, Alexander W. Min,Kang G. Shin

Mobicom 2010

-Twohsien 2010.12.08


OUTLINES

  • Motivations

  • Architecture

  • System Prototype

  • Evaluation

  • Conclusion


OUTLINES

  • Motivations

  • Architecture

  • System Prototype

  • Evaluation

  • Conclusion


Motivations

  • Limitations of Existing Approaches

  • Accuracy and repeatability

  • Efficiency and flexibility

  • Adaptation and awareness


OUTLINES

  • Motivations

  • Architecture

  • System Prototype

  • Evaluation

  • Conclusion


Architecture

  • Overview of Sybot

  • Periodic and aperiodic monitoring

  • Decomposition

  • Use of spatio-temporal variance

  • Adaptive and controllable monitoring

  • Adaptive Spectrum Monitoring


Architecture


Architecture


Architecture


Architecture


Architecture

  • Overview of Sybot

  • Adaptive Spectrum Monitoring

  • Complete Monitoring

  • Selective Monitoring

  • Diagnostic Monitoring


Architecture – Complete monitoring

  • Building a comprehensive map

  • Grid size

  • Temporal variance


Architecture – Selective monitoring

  • Reference grids

  • Smallest set

  • Accuracy


Architecture – Diagnostic monitoring

  • Detecting abnormal changes

  • Speculating measurement areas

  • Exploiting external network monitoring information


OUTLINES

  • Motivations

  • Architecture

  • System Prototype

  • Evaluation

  • Conclusion


System Prototype of Sybot – Software Implementation

  • Mobility control module

  • Spectrum monitoring module


System Prototype of Sybot – Hardware Implementation

  • iRobot

  • RB230 wireless router

  • Sonar sensor


OUTLINES

  • Motivations

  • Architecture

  • System Prototype

  • Evaluation

  • Conclusion


Evaluation

  • Testbed Setup

  • 12 Aps

  • Long-term: three times a day

  • Short-term: 5-10 times a day

  • Unit grid size: 20in * 30in


Evaluation

  • Repeatability

  • Impact of grid size

  • Reducing the space to measure

  • Gains form adaptive selection of reference grids

  • Diagnosis of abnormal spectrum condition


Evaluation - Repeatability


Evaluation - Impact of grid size


Evaluation - Impact of grid size


Evaluation – Reducing the space to measure


Evaluation – Reducing the space to measure


Evaluation – Reducing the space to measure


Evaluation – Gains from adaptive selection of reference grids


Evaluation – Diagnosis of abnormal spectrum condition


OUTLINES

  • Motivations

  • Architecture

  • System Prototype

  • Evaluation

  • Conclusion


Conclusion

  • Discussion

  • Multiple Aps

  • Multiple Sybots

  • Concluding Remarks

  • Three monitoring techniques that significantly reduce the measurement overhead

  • Provide accurate spectrum-monitoring result under dynamic spectrum conditions

  • Determine trade-off between accuracy and efficiency


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