A Fuzzy Realistic Mobility Model for Ad hoc Networks
محورهای موضوعی : Embedded SystemsAlireza Amirshahi 1 , Mahmoud Fathy 2 , Morteza Romoozi 3 , Mohammad Assarian 4
1 - Department of Computer,
Arak Branch, Islamic Azad University
2 - Department of Computer, Tehran Branch, University Of Science and Technology
3 - Department of Computer, Kashan Branch, Islamic
Azad University
4 - Department of Computer, Kashan Branch, Islamic Azad University
کلید واژه: Mobility Model, Ad hoc Networks, Realistic Mobility Model, Fuzzy systems, Nodes Signal,
چکیده مقاله :
Realistic mobility models can demonstrate more precise evaluation results because their parameters are closer to the reality. In this paper a realistic Fuzzy Mobility Model has been proposed. This model has rules which are changeable depending on nodes and environmental conditions. It seems that this model is more complete than other mobility models.After simulation, it was found out that not only considering nodes movement as being imprecise (fuzzy) has a positive effects on most of ad hoc network parameters, but also, more importantly as they are closer to the real world condition, they can have a more positive effect on the implementation of ad hoc network protocols.
[1] The Network Simulator 2, http://www.isi.edu/nsnam/ns
[2] L. Bajaj, M. Takai, R. Ahuja, K. Tang, R. Bagrodia and M. Gerla, "GlomoSim: A Scalable Network imulation Environment," Technical Report CSD, #990027, UCLA, 1997.
[3] A. P. Jardosh, E. M. Belding-Royer, K. C. Almeroth, and S. Suri,"Towards Realistic Mobility Models for Mobile Ad Hoc Netwotks", in Proceedings of ACM MOBICOM, San Diego, CA, 2003, pp. 217-229.
[4] j. Tian, J. Hahner, C. Becker, I. Stepanov, K. Rothermel, "Graph-based Mobility Model for Mobile Ad Hoc Network Simulation", in the Proceedings of 35th Annual Simulatin Symposium, in cooperation with the IEEE Computer Society and ACM. San Diego, California. 2002..
[5] M. Berg, M. Kreveld, M. Overmars, O. Schwarzkopf, " Computational Geometry: Algorithms and Applications", Springer Verlag, 2000.
[6] J. Kristofferson, "Obstacle Constrained Group Mobility Model. ", in Department of Computer Science and Electrical Engineering Lulea University of Technology Sweden December 2005.
[7] X. Hong, M. Gerla, G., Pei, C. C. Chiang, "A Group Mobility Model for Ad hoc Wireless Networks." In: Proceedings of the ACWIEEE MSWIM’99, Seattle, WA, pp. 53–60. August 1999.
[8] Bittner .Sven, Raffel .Wolf-Ulrich, and Scholz, "Manuel The Area Graph-based Mobility Model and its Impact on Data Dissemination Proceedings" of the 3rd Int’l Conf. on Pervasive Computing and Communications Workshops (PerCom 2005 Workshops) 2005 IEEE.
[9] Q. Zheng, X. Hong, and S. Ray, "Recent Advances in Mobility Modeling for Mobile Ad Hoc Network Research", in ACM-SE 42 Proceedings of the 42th annual Southeast regional, Huntsville, Alabama, USA, 2004.
[10] Gang Lu, Belis Demetrios, Manson Gordon, "Study on Environment Mobility Models for Mobile Ad Hoc Network: hotspot Mobility Model and Route Mobility Model," Wireless Com, Hawaii, USA, 2005.
[11] M. Romoozi, H. Babaei, M. Fathy, M. Romoozi. "A Cluster-Based Mobility Model for Intelligent Nodes", in LNCS. Verlag Berlin Heidelberg, 2009, pp. 565-579.
[12] H. Babaei, M. Fathi, M. Romoozi, "Obstacle Mobility Model Based on Activity Area in Ad hoc Networks" in LNCS., Verlag Berlin Heidelberg, 2007, pp. 804-817.
[13] F. Bai, N. Sadagopan, A. Helmy, "The Important Framework For Analyzing The Impact of Mobility on Performance of Routing Protocols for Ad Hoc Networks", in Proceedings of IEEE INFOCOM, San Francisco, CA, 2003, pp.825-832
[14] S. Marinoni, H. Kari, "Ad Hoc Routing Protocol Performance in a Realistic Environment," In Proceeding of the Fifth IEEE International Conference on Networking (ICN 2006), Le Morne, Mauritius, April 2006.
[15] Wang, Lie-Xin, "A course in fuzzy systems and control."