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A Quality of Service Algorithm to Reduce Jitter in Mobile Networks

  • P. Calduwel Newton
  • L. Arockiam
Part of the Communications in Computer and Information Science book series (CCIS, volume 199)

Abstract

The mobile networks are more vulnerable to ensure Quality of Service (QoS) due to the exponentially increasing number of users / devices, limited resources, etc. QoS is a set of service requirements to be met by the network. Jitter means the delay variation in transferring packets. There can be various factors that increases jitter. They are misbehaving nodes, unresponsive flows, issues in existing packet scheduling algorithms. In mobile communication system, a typical cell phone tower spreads radio signals ranges from 1 to 35 KM. The packets that come from a mobile node which is very near to the tower may get the chance to transfer the packets immediately. But, a mobile node which is far away from the tower may not get the chance to transfer the packets immediately. In other words, it is unfair to serve the packet which is started later than the packet which is started early. The packet which is started early must be served first. This paper proposes a QoS algorithm to eliminate / reduce this issue and to reduce jitter in mobile networks. Ultimately, it helps to increase Quality of Service in mobile networks.

Keywords

Packet Scheduling Jitter Quality of Service (QoS) Mobile Network Time to Live (TTL) Time-stamp 

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References

  1. 1.
    Parris, M., Jeffay, K., Smith, F.D.: Responsive vs. Unresponsive Traffic: Active Queue Management for a Better Than-Best-Effort Service. IEEE Networks Special Issue on Active Queue Management (September 2000)Google Scholar
  2. 2.
    Rocha, L.G.S., Costa, L.H.M.K., e Duarte, O.C.M.B.: Analyzing the Impact of Misbehaving Nodes in AdH̃oc Routing. In: The 3rd IEEE Latin American Network Operations and Management Symposium - LANOMS 2003, Foz do Iguaçu, Brasil, pp. 5–12 ( September 2003)Google Scholar
  3. 3.
    McCoy, D., Sicker, D., Grunwald, D.: A Mechanism for Detecting and Responding to Misbehaving Nodes in Wireless Networks. In: 2nd IEEE Workshop on Networking Technologies for Software Define Radio Networks, pp. 48–54 (June 2007)Google Scholar
  4. 4.
    Jun, J., Sichitiu, M.L.: Fairness and QoS in Multihop Wireless Networks. In: Proceedings of IEEE Vehicular Technology Conference, VTC 2003, pp. 2936–2940 (2003)Google Scholar
  5. 5.
    Visvasuresh, V., Zaruba, G., Balasekaran, G.: A QoS Scheme To Address Communication Latency Issues For Critical Network Flows In Best-Effort Networks Using Mobile Agents. In: IEEE, Canadian Conference On Electrical And Computer Engineering, pp. 891–896 (May 2004)Google Scholar
  6. 6.
    Kargl, F., Klenk, A., Weber, M., Schlott, S.: Sensors for Detection of Misbehaving Nodes in MANETs. Praxis der Informationsverarbeitung und Kommunikation 28(1), 38–44 (2007)CrossRefGoogle Scholar
  7. 7.
    Chen, J., Leung, V.C.M.: Improving end-to-end quality of services in 3G wireless networks by wireless early regulation of real-time flows. In: 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, pp. 2333–2337 (September 2003)Google Scholar
  8. 8.
    Liu, H., Delgado-Frias, J.G., Medidi, S.: Using a Cache Scheme to Detect Misbehaving Nodes in Mobile Ad-Hoc Networks. In: 15th IEEE International Conference on Networks (ICON 2007), pp. 7–12 (November 2007)Google Scholar
  9. 9.
    Paul, K., Westhoff, D.: Context Aware Detection of Selfish Node in DSR based Ad-hoc Network. IEEE GLOBECOM 2002, 178–182 (November 2002)Google Scholar
  10. 10.
    Calduwel Newton, P., Arockiam, L.: A Novel Prediction Technique to Improve Quality of Service (QoS) for Heterogeneous Data Traffic. Journal of Intelligent Manufacturing (November 2009), doi:10.1007/s10845-009-0361-z ISSN: 0956-5515 (Print) /1572-8145 (Online)Google Scholar
  11. 11.
    Calduwel Newton, P., Arockiam, L.: Route Optimization Mechanisms for Internet Applications in Mobile Networks: A Survey. International Journal of Future Generation Communication and Networking 3(3), 57–69 (2010) ISSN: 1738-995xGoogle Scholar
  12. 12.
    Calduwel Newton, P., Arockiam, L.: Reliability Analysis for General Packet Radio Service with Quality of Service Support. CiiT International Journal of Wireless Communication, 79–83 (May 2009) ISSN 0974 – 9756Google Scholar
  13. 13.
    Calduwel Newton, P., Arockiam, L., Isac Gnanaraj, J.: A Delay-Sensitive Mechanism to Establish Route Optimization in Mobile Networks. International Journal of Future Generation Communication and Networking 2(3), 37–44 (2009) ISSN: 1738-995xGoogle Scholar
  14. 14.
    Isac Gnanaraj, J., Calduwel Newton, P., Arockiam, L., Kim, T.-h.: A Hop-Sensitive Mechanism to Establish Route Optimization in Mobile Networks. Communications in Computer and Information Science Series 77, 116–123 (2010) ISSN: 1865-0929CrossRefGoogle Scholar
  15. 15.
    Arockiam, L., Calduwel Newton, P., Isac Gnanaraj, J.: A Quality of Service Strategy to Optimize Bandwidth Utilization in Mobile Networks. In: Proceedings of International Conference on Advances in Computer Science, Trivandrum, Kerala, India, pp. 186–189, ACEEE (December 2010)Google Scholar
  16. 16.
    Whetten. B., Steinberg. S., Ferrari. D.: The packet starvation effect in CSMA/CD LANs and a solution. In: Proceedings of 19th Conference on Local Computer Networks, pp. 206-217 (August 2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • P. Calduwel Newton
    • 1
  • L. Arockiam
    • 2
  1. 1.Computer ScienceBishop Heber College (Autonomous)TiruchirappalliIndia
  2. 2.Computer ScienceSt. Joseph’s College (Autonomous)TiruchirappalliIndia

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