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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

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Velocity effect on the Performance of MANEMO

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  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

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