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Comparing Simulation Tools and
Experimental Testbeds for Wireless Mesh
              Networks
                        Written by:
 Kefeng Tan, Daniel Wu, An (Jack) Chan, Prasant Mohapatra




                       Presented by:
                    Ioanna Tsalouchidou
Presentation Outline:

• Simulations Vs. Experimental Testbeds, discrepancies and more
• Methodology
• Point to Point measurements
• PHY-layer: Beyond inaccurate channel modeling
• MAC-layer: Flow level unfairness due to interference
• IP-layer: Route stability
• Conclusions
Experimental Testbeds

• Real world scenarios
• Affected by the testing environment
• Conditions highly random and uncontrollable
• High costs
• Hardware limitations
Simulations


  • Network scenarios easily constructed and modified
  • Data can be easily collected
  • Modeling of large scale network topologies
  • Do not require special hardware and labor resources
  • Low cost comparing to testbeds




  • Not as trustworthy as testbed
    experiments
  • PHY layer inadequate modeling
Methodology

• Simulations
   o NS-2
   o QualNet
• Experimental Testbeds:
   o single antenna embedded system (Soekris)
   o Laptops with modern Wi-Fi antennas
   o QuRiNet
Network scenarios

• Metrics
    oGoodput
   o Delay, Delay jitter
   o Probability distribution
• Parameters
   o PHY layer: path loss and antenna diversity
   o MAC layer: traffic load, bit rate, number of hops, flow fairness,
     interference
   o Routing layer: route length, persistence, stability and diversity
     of routes
Point to Point measurement

• Send packets from one laptop to an other
• TCP and UDP protocols
• Different bitrates, distances and traffic loads
    o   Indoor and outdoor
    o   Transmission distance of 40 and 80 meters
    o   Packet delivery 5 and 10 Mbps
    o   Bitrate: auto and 54Mbps
Point to Point measurement




  • Simulations do not affect much   • UDP goodputs are higher
    by the environment                 indoor than outdoor
  • In experiments laptops have      • Qualnet always has the
    better performance indoor than     highest results
    outdoor
PHY: Beyond Inaccurate channel modeling

• Antenna Diversity
   o Missing from simulators
   o Difference of signal when antennas spaced one wavelength
     apart
• Configuring PHY Channel
   o Path loss determines how fast a signal fades
         NS-2 path loss global parameter
         QualNet does not have this setting
   o Can be configured to fit real world scenarios
PHY: Beyond Inaccurate channel modeling




•   QualNet constant curves
•   NS-2 goodput changes as path loss increases
•   Laptop-outdoor outperforms laptop-indoor
•   Soekris doesn't show consistent results
MAC: Impact of transmission data rate




•   At low rates all results increase linearly
•   NS-2 results match laptop-outdoor
•   The drop of laptop indoor is not captured
MAC: Impact of multihop




• Goodput and delay vary with the number of hops
• For small number of hops NS-2, QualNet and testbed agree
Routing: Route Stability

• Network settings
    oThe dominating factor for routing stability is the channel quality
     and stability.
• Route prevalence and persistence
   o Prevalence: occurrence of a route over that of the dominant
     route
   o Persistence: the duration(sec) that a route lasts before it
     changes
• Spatial prevalence and spatial distribution
   o Spatial prevalence: number of cumulative occurrences of one
     node over the number of all records
Routing: Route Stability




 • (a) Dominating route occurs much more often in QuRiNet
 • (c) NS-2: the most spatial diversity with approximately 17% of routes
   covering 90% of nodes,then QuRiNet (20%) and finally QualNet (60%
   spatially concentrated)
 • Routes in simulations are less stable and persistent
Conclusions

â—Ź   NS-2 and QualNet simulations.
â—Ź   Testbets: Soekris, laptops, QuRiNet .
â—Ź   PHY, MAC and IP layers.
â—Ź   Antenna diversity, path loss, multihop, transmission rate, routing stability.
â—Ź   Discrepancies due to inaccurate channel modeling, antenna diversity.
â—Ź   Simulators: path loss is well modeled but routes less stable and persistent.

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Simulation vs experimental-testbeds_ioanna_tsalouchidou

  • 1. Comparing Simulation Tools and Experimental Testbeds for Wireless Mesh Networks Written by: Kefeng Tan, Daniel Wu, An (Jack) Chan, Prasant Mohapatra Presented by: Ioanna Tsalouchidou
  • 2. Presentation Outline: • Simulations Vs. Experimental Testbeds, discrepancies and more • Methodology • Point to Point measurements • PHY-layer: Beyond inaccurate channel modeling • MAC-layer: Flow level unfairness due to interference • IP-layer: Route stability • Conclusions
  • 3. Experimental Testbeds • Real world scenarios • Affected by the testing environment • Conditions highly random and uncontrollable • High costs • Hardware limitations
  • 4. Simulations • Network scenarios easily constructed and modified • Data can be easily collected • Modeling of large scale network topologies • Do not require special hardware and labor resources • Low cost comparing to testbeds • Not as trustworthy as testbed experiments • PHY layer inadequate modeling
  • 5. Methodology • Simulations o NS-2 o QualNet • Experimental Testbeds: o single antenna embedded system (Soekris) o Laptops with modern Wi-Fi antennas o QuRiNet
  • 6. Network scenarios • Metrics oGoodput o Delay, Delay jitter o Probability distribution • Parameters o PHY layer: path loss and antenna diversity o MAC layer: traffic load, bit rate, number of hops, flow fairness, interference o Routing layer: route length, persistence, stability and diversity of routes
  • 7. Point to Point measurement • Send packets from one laptop to an other • TCP and UDP protocols • Different bitrates, distances and traffic loads o Indoor and outdoor o Transmission distance of 40 and 80 meters o Packet delivery 5 and 10 Mbps o Bitrate: auto and 54Mbps
  • 8. Point to Point measurement • Simulations do not affect much • UDP goodputs are higher by the environment indoor than outdoor • In experiments laptops have • Qualnet always has the better performance indoor than highest results outdoor
  • 9. PHY: Beyond Inaccurate channel modeling • Antenna Diversity o Missing from simulators o Difference of signal when antennas spaced one wavelength apart • Configuring PHY Channel o Path loss determines how fast a signal fades  NS-2 path loss global parameter  QualNet does not have this setting o Can be configured to fit real world scenarios
  • 10. PHY: Beyond Inaccurate channel modeling • QualNet constant curves • NS-2 goodput changes as path loss increases • Laptop-outdoor outperforms laptop-indoor • Soekris doesn't show consistent results
  • 11. MAC: Impact of transmission data rate • At low rates all results increase linearly • NS-2 results match laptop-outdoor • The drop of laptop indoor is not captured
  • 12. MAC: Impact of multihop • Goodput and delay vary with the number of hops • For small number of hops NS-2, QualNet and testbed agree
  • 13. Routing: Route Stability • Network settings oThe dominating factor for routing stability is the channel quality and stability. • Route prevalence and persistence o Prevalence: occurrence of a route over that of the dominant route o Persistence: the duration(sec) that a route lasts before it changes • Spatial prevalence and spatial distribution o Spatial prevalence: number of cumulative occurrences of one node over the number of all records
  • 14. Routing: Route Stability • (a) Dominating route occurs much more often in QuRiNet • (c) NS-2: the most spatial diversity with approximately 17% of routes covering 90% of nodes,then QuRiNet (20%) and finally QualNet (60% spatially concentrated) • Routes in simulations are less stable and persistent
  • 15. Conclusions â—Ź NS-2 and QualNet simulations. â—Ź Testbets: Soekris, laptops, QuRiNet . â—Ź PHY, MAC and IP layers. â—Ź Antenna diversity, path loss, multihop, transmission rate, routing stability. â—Ź Discrepancies due to inaccurate channel modeling, antenna diversity. â—Ź Simulators: path loss is well modeled but routes less stable and persistent.