1 / 17

Emulation of large scale WSN: from real neighbors to imaginary destination

Emulation of large scale WSN: from real neighbors to imaginary destination. Bogdan Pavković, Jovan Radak, Nathalie Mitton, Franck Rousseau, Ivan Stojmenović INRIA Lille – LIG, Grenoble INP – SITE, University of Ottawa AdHocNow, 11 july 2012. motivation. Simulation:

neve-fry
Download Presentation

Emulation of large scale WSN: from real neighbors to imaginary destination

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. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Emulation of large scale WSN: from real neighbors to imaginary destination Bogdan Pavković, Jovan Radak, Nathalie Mitton, Franck Rousseau, Ivan Stojmenović INRIA Lille – LIG, Grenoble INP – SITE, University of Ottawa AdHocNow, 11 july 2012

  2. motivation • Simulation: • not realistic & reliable radio medium models • complex models (propagation, interference) • scaling-up : memory, computation time • Real world experiments: • complex to realize • sensor positioning, administration • scaling-up: price, space, man power

  3. Emulation – different definitions • General: Overcome imprecisions of the simulation without the need to confront to the problems of real-world tests • Goals: repeatability, scaling-up, decrease price • Network emulation: • communication between real and simulated nodes • Environment emulation: • sensor readings injection

  4. Basic principle • Emulation with real nodes • Random 1-hop neighborhood around a central node • Emulate a large network by re-executing each new hop on the same core neighborhood

  5. Impairments of the basic approach • Same 1-hop neighborhood nodes: • fixed density at start • similar potential forwarders • Add random rotation? • Does not support face routing: • going around the network holes (voids)

  6. Hexagonal neighborhood • Regular structure: • translation, rotation • Dense neighborhood: • activate sub-section to vary density

  7. New idea - example

  8. Real-world verification • Basic version - 43 nodes WSN430 • Initialization phase: measure & calculate the radio link metrics (ETX) • Geographic routing • Results

  9. Simulation comparison • Hexa version - ~1000 simulated nodes • WSNetsimulator • Same geographic routing + LEARN-G • Simulate the emulation process (PHY as well) • Comparison: whole network simulation vs emulation Network

  10. Results • Almost the same results for both cases

  11. Limitations • We “follow” a single packet • No interfering traffic • Imprecision in node position approximation

  12. Generate interferences

  13. Conclusion • Analyze the behavior of large network (10K+) with only small set of core nodes • Repeatability • Real PHY layer • Reduced cost and complexity • Density control • Interesting for some problems e.g. routing

  14. Future work • Final test: large real network vs. emulation • GreenOrbs / SensLab • does it make sense ? • Simulation < Emulation < Real-world? • Add interferences • Follow more packets – remember states • Mobility (?)

  15. Thank you Questions ?

  16. Emulation of large scale WSN: from real neighbors to imaginary destination Bogdan Pavković, Jovan Radak, Nathalie Mitton, Franck Rousseau, Ivan Stojmenović INRIA Lille – LIG, Grenoble INP – SITE, University of Ottawa AdHocNow, 11 july 2012

More Related