Total views : 138

On the Selection of Optimum QoS Bounds for Mobile IP Enabled VANET through Realistic City Scenario

Affiliations

  • Department of Computer Science and Engineering, GNDU Regional Campus, Jalandhar, India
  • Department of Electronics and Communication Engineering, GNDU Regional Campus, Jalandhar, India

Abstract


The emergence of DSRC 802.11p in VANET (Vehicular Adhoc Network) has resulted in the evolution of Intelligent Transport System (ITS). However, one of the major challenges in the success of VANET is the robust and reliable implementation through rapid vehicle movement and hostile channel conditions. Mobile IP can be considered as one of the most promising technologies to address the challenge of uninterrupted services in spite of rapid movement. In this work, a Mobile IP enabled scenario has been proposed and the hostile channel conditions have been modeled using Rayleigh fading distribution. The optimum QoS bounds have been obtained through extensive simulations by varying the queue size and application traffic type. Due to the quick handoff in Mobile IP, there is crucial need of selection of appropriate queue size responsible for accommodating data packets. Considering all these factors, this paper emphasizes on the selection of most suitable application traffic along with appropriate queue size even under realistic channel conditions for Mobile IP enabled City Scenario.

Keywords

ITS, Mobile IP, PCR, PDR, Rayleigh Fading.

Full Text:

 |  (PDF views: 121)

References


  • Perkins C. IP mobility support. Technical Report RFC 2002. IETF. 1996 Oct.
  • Janevski T, Petrov I. Analysis of Mobile IP for NS-2,” 16th Telecommunication forum TELFOR 2008 Nov; 191–4.
  • Koodli R et al. FMIPv6, IETF, RFC.4068,2005.
  • Dahiya P, Deswal S. Performance Analysis of Advanced FMIPv6 for Handover Management In VANET.International Journal of Innovative Research in Science, Engineering and Technology. 2014 Jun; 3(6):13572–8.
  • Samad M, Herman SH. Quality of Service for Mobile IP Services in Wireless Network. Asia Pacific Conference on Applied Electromagnetic, Johor. 2005 Malaysia.
  • Firouzjaee SG, Fathy M, Raahemifar K. Utilizing Mobile IP, MPLS to Improve QoS in VANET. International Conference on Advances in Signal Processing and Communications (SPC- 2012) Amsterdam, Netherlands. 2012 Jun 8. p. 122–5.
  • Kumar S, Gupta PK. Performance Analysis of Rayleigh and Rician Fading Channel Models using Matlab Simulation.I.J. Intelligent Systems and Applications. 2013; 94–102.
  • Rappaport TS. Wireless Communications, Chs. 3 and 4, Upper Saddle River, NJ: Prentice Hall, 1996.
  • Wang S-Y, NCTUns 5.0: A Network Simulator for IEEE 802.11(p) and 1609 Wireless Vehicular Network Researches.2013 Jan; 1.
  • Perkins CE. Sun Microsystems. IEEE Communications Magazine. 1997; 84–99.
  • Sommer C, Dressler F.Using the right two-ray model, A measurement based evaluation of PHY models in VANETs.Proc ACM Mobi Com. 2011; 1–3.
  • Cespedes.S, Taha S, Xuemin S. A Multihop- Authenticated Proxy Mobile IP Scheme for Asymmetric VANET. Vehicular Technology, IEEE Transactions . 2013; 62(7).
  • Bechler M, Wolf L. Mobility Management for Vehicular Ad-Hoc Networks. Vehicular Technology Conference, 2005 VTC 2005-Spring, IEEE 2005; 61st. 4:;2294–8.
  • Al Shidhani A, Leung VCM. Secure and efficient multihop mobile IP Registration scheme for MANET-Internet integrated architecture. Proc IEEE Wireless Communication Networking Conference. 2010; 1 –6.

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.