sybot an adaptive and mobile spectrum survey system for wifi networks
Download
Skip this Video
Download Presentation
Sybot : An Adaptive and Mobile Spectrum Survey System for WiFi Networks

Loading in 2 Seconds...

play fullscreen
1 / 30

Sybot : An Adaptive and Mobile Spectrum Survey System for WiFi Networks - PowerPoint PPT Presentation


  • 148 Views
  • Uploaded on

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

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' Sybot : An Adaptive and Mobile Spectrum Survey System for WiFi Networks' - odina


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
sybot an adaptive and mobile spectrum survey system for wifi networks

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
OUTLINES
  • Motivations
  • Architecture
  • System Prototype
  • Evaluation
  • Conclusion
outlines1
OUTLINES
  • Motivations
  • Architecture
  • System Prototype
  • Evaluation
  • Conclusion
motivations
Motivations
  • Limitations of Existing Approaches
  • Accuracy and repeatability
  • Efficiency and flexibility
  • Adaptation and awareness
outlines2
OUTLINES
  • Motivations
  • Architecture
  • System Prototype
  • Evaluation
  • Conclusion
architecture
Architecture
  • Overview of Sybot
  • Periodic and aperiodic monitoring
  • Decomposition
  • Use of spatio-temporal variance
  • Adaptive and controllable monitoring
  • Adaptive Spectrum Monitoring
architecture5
Architecture
  • Overview of Sybot
  • Adaptive Spectrum Monitoring
  • Complete Monitoring
  • Selective Monitoring
  • Diagnostic Monitoring
architecture complete monitoring
Architecture – Complete monitoring
  • Building a comprehensive map
  • Grid size
  • Temporal variance
architecture selective monitoring
Architecture – Selective monitoring
  • Reference grids
  • Smallest set
  • Accuracy
architecture diagnostic monitoring
Architecture – Diagnostic monitoring
  • Detecting abnormal changes
  • Speculating measurement areas
  • Exploiting external network monitoring information
outlines3
OUTLINES
  • Motivations
  • Architecture
  • System Prototype
  • Evaluation
  • Conclusion
system prototype of sybot software implementation
System Prototype of Sybot – Software Implementation
  • Mobility control module
  • Spectrum monitoring module
system prototype of sybot hardware implementation
System Prototype of Sybot – Hardware Implementation
  • iRobot
  • RB230 wireless router
  • Sonar sensor
outlines4
OUTLINES
  • Motivations
  • Architecture
  • System Prototype
  • Evaluation
  • Conclusion
evaluation
Evaluation
  • Testbed Setup
  • 12 Aps
  • Long-term: three times a day
  • Short-term: 5-10 times a day
  • Unit grid size: 20in * 30in
evaluation1
Evaluation
  • Repeatability
  • Impact of grid size
  • Reducing the space to measure
  • Gains form adaptive selection of reference grids
  • Diagnosis of abnormal spectrum condition
outlines5
OUTLINES
  • Motivations
  • Architecture
  • System Prototype
  • Evaluation
  • Conclusion
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
ad