Performance Analysis of Adjusted Counter Based Broadcasting in Mobile Ad Hoc Networks

Abstract

Mobile Ad Hoc Network (MANET) is a reliable system formed by co-operating and independent nodes that connect and communicate with each other wirelessly without pre-existing infrastructure. In such a network, the easiest way to broadcast the packets to all network nodes is flooding. However, flooding leads to serious drawbacks such as collision, contention and redundant retransmission. These drawbacks are known as the broadcast storm problem. This research proposes an adaptive algorithm in order to decrease the overall network overhead and minimize the problems associated to flooding. Moreover this research concentrates on studying the effect of using different mobility models that provide general idea about nodes movement, status and locations. In particular the performance of Random Waypoint and File mobility models in terms of their effect on network communication is evaluated. Moreover, this research provides performance evaluation of different traffic types such as Constant Bit Rate (CBR) and Traffic GEN. Results from Qualnet simulations have revealed that the new proposed algorithm outperforms flooding in terms of different metrics: reducing end-to-end delay in addition to minimizing the normalized routing load and maximizing the packets delivery ratio, in addition to concluding that Traffic GEN outperforms the CBR in terms of throughput. Moreover the CBR traffic has higher delay values than Traffic GEN.

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M. Yassein, B. Hameed, W. Mardini and Y. Khamayseh, "Performance Analysis of Adjusted Counter Based Broadcasting in Mobile Ad Hoc Networks," Communications and Network, Vol. 5 No. 4, 2013, pp. 353-359. doi: 10.4236/cn.2013.54044.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] C. S. R. Murthy and B. S. Manoj, “Ad Hoc Wireless Networks: Architectures and Protocols,” Pearson Education, Upper Saddle River, 2004, pp. 2-5.
[2] T. Camp, J. Boleng and V. Davies, “A Survey of Mobility Models for Ad Hoc Network Research,” Wireless Communication and Mobile Computing (WCMC): Special Issue on Mobile Ad Hoc Networking: Research, Trends and Applications, Vol. 2, No. 5, 2002, pp. 483-502.
[3] C. Perkins and E. M. Royer, “Ad-Hoc On-Demand Distance Vector Routing,” Proceedings of 2nd IEEE Workshop on Mobile Computing Systems and Applications, New Orleans, 25-26 February 1999, pp. 90-100.
http://dx.doi.org/10.1109/MCSA.1999.749281
[4] M. Bani-Yassein, M. Ould-Khaoua, L. M. Mackenzie and S. Papanastasiou, “Performance Analysis of Adjusted Probabilistic Broadcasting in Mobile Ad Hoc Networks,” International Journal of Wireless Information Networks, Vol. 13, No. 2, 2006, pp. 127-140.
http://dx.doi.org/10.1007/s10776-006-0027-0
[5] C. E. Perkins and E. M. Royer, “Ad Hoc On-Demand Distance Vector Routing,” Proceedings of the 2nd IEEE Workshop on Mobile Computing System and Application, New Orleans, 25-26 February 1999, pp. 90-100.
http://dx.doi.org/10.1109/MCSA.1999.749281
[6] N. Aschenbruck, E. Gerhands-Padilla and P. Martini, “A Survey on Mobility Models for Performance Analysis in Tactical Mobile Networks,” Journal of Telecommunication and Information Technology, Vol. 2, 2008, pp. 54-61.
[7] T. Camp, J. Boleng and V. Davies, “A Survey of Mobility Models for Ad Hoc Network Research,” Wireless Communication & Mobile Computing (WCMC), Vol. 2, No. 5, 2002, pp. 488-502.
[8] A. Abdullah, N. Ramly, A. Muhammed and M. N. Derahman, “Performance Comparison Study of Routing Protocols for Mobile Grid Environment,” International Journal of Computer Science and Network Security (IJCSNS), Vol. 8, No 2, 2008, pp. 82-88.
[9] Z. Qi and D. P. Agrawal, “Dynamic Probabilistic Broadcasting in Mobile Ad hoc Networks,” The IEEE 58th Vehicular Technology Conference (VTC’03), Orlando, 6-9 October 2003, pp. 2860-2864.
[10] M. B. Yassein, S. F. Nimer and A. Y. Al-Dubai, “A New Dynamic Counter-Based Broadcasting Scheme for Mobile Ad Hoc Networks,” Journal of Simulation Modelling Practice and Theory, Vol. 19, No. 1, 2011, pp. 553-563.
http://dx.doi.org/10.1016/j.simpat.2010.08.011
[11] H. S. Bindra, S. K. Maakar and A. L. Sangal, “Performance Evaluation of Two Reactive Routing Protocols of MANET Using Group Mobility Model,” International Journal of Computer Science Issues (IJCSI), Vol. 7, No. 3, 2010, pp. 38-43.
[12] A. Singh and S. Mehta, “Performance Comparison of Two Mobility Models Using Aodv,” International Journal of Computer Science Engineering (IJCSE), Vol. 1, No. 1, 2012, pp. 116-124.
[13] S. Gupta, C. Kumar, S. Rani and B. Bhushan, “Performance Comparison of Routing Protocols Using Different Mobility Models,” International Journal of Modern Education and Computer Science, Vol. 4, No. 8, 2012, pp. 54-61. http://dx.doi.org/10.5815/ijmecs.2012.08.08
[14] C. Bettstetter and C. Wagner, “The Spatial Node Distribution of the Random Waypoint Mobility Model,” IEEE Transactions on Mobile Computing, Vol. 2, No. 3, 2003, pp. 257-269.
http://dx.doi.org/10.1109/TMC.2003.1233531

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