Empirical Modeling and Simulation of Temporal Based Adaptive Mobility Model for MANET

Abstract

Mobile Ad Hoc network (MANET) is a collection of wireless mobile nodes forming a temporary network without the aid of any established infrastructure. To conduct meaningful performance analysis of MANETs, it is essential that the simulation of mobility model should reflect the realistic mobility pattern of mobile nodes i.e. placement of mobile nodes at different intervals of time. The formation of spontaneous network depends heavily on the movement of different nodes in a particular practical scenario. This research focuses on the modeling and simulation of a temporal Adaptive Mobility Model which can be adapted to any dynamic practical scenario. The mobility in the realistic environment is simulated based on a Probability Transition Matrix named as Personal Behavior Model (PBM) and validated for a practical Health Care Environment. The formation of MANET is assumed to be based on the movement of the patient i.e. mobile nodes in the health care environment. Patients waiting in front of each service point for different time intervals are taken as results and compared with the actual data.

Share and Cite:

G. Prema, C. Aravindan, K. Kannan and R. Maheswaran, "Empirical Modeling and Simulation of Temporal Based Adaptive Mobility Model for MANET," International Journal of Communications, Network and System Sciences, Vol. 4 No. 4, 2011, pp. 232-240. doi: 10.4236/ijcns.2011.44028.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] M. Kim, D. Kotz and S. Kim, “Extracting a Mobility Model from Real User Traces,” Proceedings of the 25th Annual Joint Conference of the IEEE Computer and Communications Societies, Barcelona, 23-29 April 2006, pp. 1-13.
[2] M. McNett and G. M. Voelker, “Access and Mobility of Wireless PDA Users,” Mobile Computing Communications Review, Vol. 9, No. 2, 2005, pp. 40-55. doi:10.1145/1072989.1072995
[3] B. Divecha, A. Abraham, C. Grosan and S. Sanyal, “Impact of Node Mobility on MANET Routing Protocols Models,” Journal of Digital Information Management, Vol. 5, No. 1, 2007, pp. 19-24.
[4] A. J. Pullin, “A Realistic Model for Evaluation of MANET,” Proceedings of Innovation North Research & Practice Conference, Leeds, 9-11 July 2007, pp. 1-15.
[5] S. Ray, “Realistic Mobility for MANET Simulation,” Master’s Thesis, The University of British Columbia, Vancouver, 2003.
[6] A. Jardosh, E. M. Belding-Royer, K. C. Almeroth and S. Suri, “Real World Environment Models for Mobile Ad-Hoc Networks Evaluation,” IEEE Journal on Selected Areas in Communications, Special Issue on Wireless Ad Hoc Networks, Vol. 23, No. 3, 2005, pp. 622-632.
[7] S. Gowrishankar, T. G. Basavaraju and S. Sarkar, “Effect of Random Mobility Models Pattern in Mobile Ad Hoc Networks,” International Journal of Computer Science and Network Security, Vol. 7, No. 6, 2007, pp. 160-164.
[8] P. Venkateswaran, R. Ghosh, A. Das, S. K. Sanyal and R. Nandi, “An Obstacle Based Realistic Ad-Hoc Mobility Model for Social Networks,” Journal of Networks, Vol. 1, No. 2, 2006, pp. 37-44.
[9] T. Camp, J. Boleng and V. Davies, “A Survey of Mobility Models for Ad Hoc Network Research,” Wireless Communication and Mobile Computing: Special Issue on Mobile Ad Hoc Networking: Research, Trends and Applications, Vol. 2, No. 5 , 2002, pp. 483-502.
[10] A. J. Pullin and C. Pattinson, “A Realistic Battlefield Model for the Evaluation of MANET,” Proceedings of 5th Annual Conference on Wireless on Demand Network Systems and Services, Garmisch Partenkirchen, 23-25 January 2008, Vol. 23, pp. 81-84. doi:10.1109/WONS.2008.4459359
[11] T. M. L. Flower, G. Prema, C. Aravindan, K. Kannan and R. Maheswaran, “A Realistic Mobility Pattern for Adaptive MANET Simulation Environment,” Proceedings of National Conference on Networks, Image & Security, Kumarakoil, 14-15 March 2008, pp. 70-75.
[12] G. Lu, G. Manson and D. Belis, “Mobility Modeling in Mobile Ad Hoc Networks with Environment-Aware,” Journal of Networks, Vol. 1, No. 1, 2006, pp. 54-63.
[13] D. Bhattacharjee, A. C. R. Shah, M. Shah and A. Helmy, “Empirical Modeling of Campus-Wide Pedestrian Mobility: Observations on the USC Campus,” Proceedings of IEEE Vehicular Technology Conference, Los Angeles, 26-29 September 2004 Vol. 4, pp. 2887-2891.
[14] J. Kim and S. Bohacek, “A Survey-Based Mobility Model of People for Simulation of Urban Mesh Networks,” Proceedings of Mesh Nets, Budapest, July 2005, pp. 1-11.
[15] D. Huang, “Unlinkability Measure for IEEE 802.11 Based MANETs,” IEEE Transactions on Wireless Communications, Vol. 7, No. 2, 2008, pp. 1025-1034. doi:10.1109/TWC.2008.060777
[16] M. A. Rajan, M. G. Chandra, L. C. Reddy and P. S. Hiremath, “Topological and Energy Analysis of K-Connected MANETs: A Semi-Analytical Approach,” International Journal of Computer Science and Network Security, Vol. 8, No. 2, 2008, pp. 199-207.
[17] P. Johansson, T. Larsson, N. Hedman, B. Mielczarek and M. Degermark, “Scenario Based Performance Analysis of Routing Protocols for Mobile Ad Hoc Networks,” Proceedings of the 5th ACM Annual International Conference on Mobile Computing and Networking, Seattle, 15-19 August 1999, pp. 195-206.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.