1 / 33

Velocity effect on the Performance of MANEMO

Velocity effect on the Performance of MANEMO. Adisorn Lertsinsrubtavee,Dr.Teerapat Sanguankotchakorn,Dr.Anis Laouiti,Prof.Kanchana Kanchansut 2010 – 02 – 25 The Third AsiaFI Winter School Seoul National University, Seou l, Korea. Outline. Background Objective Movement Scenario E- Model

billy
Download Presentation

Velocity effect on the Performance of MANEMO

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. Velocity effect on the Performance of MANEMO AdisornLertsinsrubtavee,Dr.TeerapatSanguankotchakorn,Dr.AnisLaouiti,Prof.KanchanaKanchansut 2010 – 02 – 25 The Third AsiaFI Winter School Seoul National University, Seoul, Korea

  2. Outline • Background • Objective • Movement Scenario • E- Model • Data analysis • Conclusion

  3. Background

  4. Motivation • The Situation –A disaster area • several miles on a side in which • almost all communications • have been wiped out. • Cellular network and Public SW are not • available so people will lost of contact

  5. Post disaster recovery • Rescue operation • Small group of movement (eg. Car, boat,..) • Communication between group and to based camp • Multi-hops wireless network with vehicular mobility

  6. NEtworkMObility (NEMO) • NEMO (RFC 3963)1 • Mobile Router (MR) • MRs equip in vehicles • Provide the connectivity to its client via ingress interface • Connect to high level MR to reach the HA via egress interface • Home Agent (HA) • All the NEMO networks have to register HoA and CoA to localize the position • Mobile Network Node(MNN) • Connect to MR through WiFi • [1] V. Devarapalli, R. Wakikawa, A. Petrescu, P. Thubert “RFC3963 - Network Mobility (NEMO) Basic Support Protocol”

  7. NEtworkMObility (NEMO) cont. • [2] Wakikawa,R., Thubert, P., Boot, T., Bound,J. & McCarthy, B Problem Statement and Requirements for MANEMO”, (draft-wakikawa-manemo-problem-statement-01.txt), IETF, Internet Draft, July 2007 • NEMO problem • Routing Optimization problem[2] • Routing is highly Inefficiency in nested NEMO • Packets have to route to HA

  8. MANEMO • NEMO + MANET MANEMO • Nested NEMO structure • NEMO is designed to provide global connectivity • MANET supports the data transfering in local connectivity • Solution (NEMO +) • TD (Tree Discovery) • NINA (Network In Node Advertisement)

  9. Statement of Problem • What is the limitation or optimal value of velocity? • Vehicles are always used in MANEMO but until now we still have not known the limitation of their velocity • How accurate of the analytic or simulation result ? • The real experiment can be the best solution to answer this question but most of research works only consider to analytic model and simulation method • How can we know the optimal value is useable ? • Various movement scenarios can be provide to find out more the accurate result

  10. Objective • To study and apply the MANEMO approach to the real experiment • To measure and evaluate the performance of MANEMO environment which impacted by velocity • To assess the quality of VoIP service on the MANEMO environment • To specify the limitation of velocity in the MANEMO environment

  11. Movement scenario

  12. Parameter Declaration • Group of movement • Outputs measurement • Throughput • Packet Loss • End to End Delay • VoIP Call Quality • Input Factors • Static case (ref.) • Speed 5 – 35 km/h

  13. Output Performance • Network performance assessment • ICMP ping and Netperf • RTT • Packet Loss Rate (PLR) • Throughput (Tp) • VoIP call quality assessment • Linnphone (SIP soft phone application) • End to End Delay (Dee) • Packet Loss Rate (PLR)

  14. Movement Scenario IntERLab 200 m

  15. Data Measurement

  16. ITU-T G.107, The E model

  17. Introduction of E-Model • Recommendation G.107 (ITU standard) • Transmission planning tool • Evaluating end-to-end Voice quality • Calculation a scalar quality rating value • Transmission rating factor (R) • Rating Factor, R (0 - 100) • 100 = Excellent performance • 60 = Acceptable level

  18. E-ModelReference Connection

  19. E-Model Equation R = Rating factor (0-100) Ro= the effect of noise and loudness ratio Is = The effect of impairments occurring simultaneous with the speech signal Id = Delay impairment factor Ie –eff=Equipment Impairment factor A= Expectation factor

  20. Default value from ITU-T G.107

  21. Reduction model Substitute default values from ITU-T G.107 Idd represents the impairment caused by one way delay (Ta) Ie-eff represents the impairment caused by type of codec, Packet loss, and Packet loss burst ratio

  22. Data analysis

  23. Network performance assessment

  24. Network performance assessment

  25. E model Rating factor

  26. Rating factor with User satisfaction

  27. Performance Comparison of single group movement

  28. VoIP Quality assessment

  29. VoIP Quality assessment : R value

  30. conclusion

  31. Conclusion • Speed increment can decrease performance of MANEMO • i.e. Packet loss, Throughput, Round Trip Time delay • Performance decreased from 34-118.5% • Acceptable level of E model (R=60) • Speed must less than 14.11 km/h • VoIP call quality is increased when speed is increased • H/O period • H/O time has a significant impact to quality of communication • Reducing H/O time canincrease the quality of speech transmission

  32. Future work • Validate the experiment result • Simulation • Reducing Hanover time • Fast H/O • Field experiment with different movement scenario • Other routing protocols • OLSR…

  33. Thank you

More Related