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Multimedia Tools and Applications

, Volume 78, Issue 5, pp 5537–5570 | Cite as

An optimized hardware calibration technique for transmission of real-time applications in VoIP network

  • Gurjot Kaur
  • Jasleen Kaur
  • Shubhani Aggarwal
  • Chinu Singla
  • Nitish Mahajan
  • Sakshi KaushalEmail author
  • Arun Kumar SangaiahEmail author
Article

Abstract

Voice over Internet Protocol (VoIP) uses packet switching to transmit voice, video, data and chat services. VoIP applications depend upon various speech codecs which vary in speech quality, bandwidth and computational requirements. The key challenges for improving the VoIP Quality of Service (QoS) and Quality of Experience (QoE) is to use best codec by considering network traffic and selecting the optimal hardware. Hardware Calibration is a mechanism to aid service providers by selecting a suitable hardware for Call Manager to transmit different real-time based applications. The paper focuses on proposing a computational model which suggests the most suitable hardware for a specific load handling requirement. The selection of processor is done by taking into consideration the effect of different codecs when it takes calls per second as input and gives output as whichever hardware is recommended for Call Manager to handle different types of applications like Peer-To-Peer (P2P) application, Back-To-Back (BTB) application, enabling voice logging, etc. The emulations demonstrate that the proposed model is suitable for selection of hardware which provides better QoS and QoE for the transmission VoIP based real-time applications. Further, a multi-criteria decision-making method based on Analytic Hierarchy Process (AHP) is also proposed to decide which hardware can be chosen as Call Manager. The results obtained from AHP are used to validate the outcome of the proposed computational model. The computational model is applicable only when the tests are run on particular systems and it suggests the best hardware among them for the particular offered load. However, to suggest the best configuration corresponding to the input load from the possible configurations available in the market, benchmarking is performed. A common scale model for hardware benchmark estimation particularly has been proposed for different scenarios.

Keywords

VoIP RTP Quality of Service (QoS) codec AHP Benchmarking 

Notes

Acknowledgements

This work is funded and supported by CC&BT, Ministry of Electronics and Information Technology, Government of India, India.

References

  1. 1.
    Goode B (2002) Voice Over Internet Protocol (VoIP). Proc IEEE 90(9):1495–1517CrossRefGoogle Scholar
  2. 2.
    Rosenberg J, Schulzrinne H, Camarillo G, Johnston A, Peterson J, Sparks R, Handley M, Schooler E (2002) SIP: Session initiation protocol. IETF RFC 3261Google Scholar
  3. 3.
    Rasol M, Al Kasasbeh B, Al Adwan F (2016) An Improved Secure SIP Registration Mechanism to Avoid VoIP Threats. Int J Cloud Appl Comput (IJCAC) 6(2):25–36Google Scholar
  4. 4.
    Rosenberg J, Schulzrinne H (2002) An Offer/Answer Model with the Session Description Protocol. RFC 3264Google Scholar
  5. 5.
    Freeman RL (2015) Telecommunication System Engineering, Volume 82, WileyGoogle Scholar
  6. 6.
    Gurbani V, Schulzrinne H, Hilt V (2014) Session Initiation Protocol (SIP) Overload Control. RFC 7339Google Scholar
  7. 7.
    Takahashi A, Yoshino H, Kitawaki N (2004) Perceptual QoS assessment technologies for VoIP. IEEE Commun Mag 42(7):28–34CrossRefGoogle Scholar
  8. 8.
    Kim K, Choi Y-J (2011) Performance comparison of various VoIP codecs in wireless environments. Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication. ACMGoogle Scholar
  9. 9.
    Thompson CA, Latchman HA, Angelacos N, Pareek BK (2013) A Distributed IP-Based Telecommunication System Using SIP. arXiv preprint arXiv:1312.2625Google Scholar
  10. 10.
    Kim K, Choi YJ (2011) Performance Comparison of Various VoIP Codec in Wireless Environments. Proceedings of ACM International Conference on Ubiquitous Information Management and Communication (ICUIMC 11). Seoul, Korea 1–10Google Scholar
  11. 11.
    Hole DP, Tobagi FA (2004) Capacity of an IEEE 802.11b wireless LAN supporting VoIP. IEEE ICC, Paris, pp 196–201Google Scholar
  12. 12.
    Yu J, Ajarmeh A (2008) Design and Traffic Engineering of VoIP for Enterprise and Carrier Networks. Int J Adv Telecom 1(1):27–28Google Scholar
  13. 13.
    Z. Qiao, L. Sun, N. Heilemann, and E. Ifeachor (2004) A New Method for VoIP Quality of Service Control Use Combined Adaptive Sender Rate and Priority Marking. Proc. IEEE International Conference on Communications (ICC 04), vol. 3, pp. 1473–1477Google Scholar
  14. 14.
    Naeem MN, Namboodiri (2010) Vinod Namboodiri, Pendse, Ravi Pendse,"Energy implication of various VoIP codecs in portable devices. lcn, pp.196–199, 2010 I.E. 35th Conference on Local Computer NetworksGoogle Scholar
  15. 15.
    Anouar T, Haqiq A (2012) Performance Analysis of VoIP Traffic in WiMAX using various Service Classes. Int J Comput Appl 20; 29–33Google Scholar
  16. 16.
    Dagdeviren M, Yavuz S, Kilin N (2009) Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Syst Appl 36(4):8143–8151CrossRefGoogle Scholar
  17. 17.
    FreeSWITCH Home Page [Online]. Available: http://www.freeswitch.org/
  18. 18.
    Satty TL (1980) The analytical hierarchy process: planning, priority setting, resource allocation. RWS publication, PittsburgGoogle Scholar
  19. 19.
    Chang L-H, Lee T-H, Chu H-C, Lo Y-L, Chen Y-J (2013) QoS-aware path switching for VoIP traffic using SCTP. Computer Standards & Interfaces 35(1):158–169CrossRefGoogle Scholar
  20. 20.
    Shah RD, Singh SK (2016) Media Access Delay and Throughput Analysis of Voice Codec with Silence Suppression on Wireless Ad Hoc Network. Procedia Computer Science 79:940–947CrossRefGoogle Scholar
  21. 21.
    Ansari AM, Nehal MF, Qadeer MA (2013) SIP-based interactive voice response system using freeswitch epbx. Tenth International Conference on Wireless and Optical Communications Networks (WOCN-2013) 1–5Google Scholar
  22. 22.
    Whittaker E, Robinson G The Calculus of Observations. A trearise on Numerical Mathematics, Book: Blackie and Son Limited, London and Glasgow, Fourth EditionGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  • Gurjot Kaur
    • 1
  • Jasleen Kaur
    • 1
  • Shubhani Aggarwal
    • 1
  • Chinu Singla
    • 1
  • Nitish Mahajan
    • 1
  • Sakshi Kaushal
    • 1
    Email author
  • Arun Kumar Sangaiah
    • 2
    Email author
  1. 1.University Institute of Engineering and TechnologyPanjab University ChandigarhChandigarhIndia
  2. 2.School of Computing Science and EngineeringVIT UniversityVelloreIndia

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