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Mobility Scenario of Dissimilar Mobility Models using the DSR Protocol in Ad-hoc Sensor Network-A Survey

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IJCA Special Issue on Issues and Challenges in Networking, Intelligence and Computing Technologies
© 2012 by IJCA Journal
ICNICT - Number 4
Year of Publication: 2012
Authors:
V. Vasanthi
Hemalatha. M

V Vasanthi and Hemalatha.m. Article: Mobility Scenario of Dissimilar Mobility Models using the DSR Protocol in Ad-hoc Sensor Network-A Survey. IJCA Special Issue on Issues and Challenges in Networking, Intelligence and Computing Technologies ICNICT(4):11-19, November 2012. Full text available. BibTeX

@article{key:article,
	author = {V. Vasanthi and Hemalatha.m},
	title = {Article: Mobility Scenario of Dissimilar Mobility Models using the DSR Protocol in Ad-hoc Sensor Network-A Survey},
	journal = {IJCA Special Issue on Issues and Challenges in Networking, Intelligence and Computing Technologies},
	year = {2012},
	volume = {ICNICT},
	number = {4},
	pages = {11-19},
	month = {November},
	note = {Full text available}
}

Abstract

The mobility model used emulates closely the real-life Scenarios. The mobility model dictates the movement of nodes and plays an important role in determining the protocol and connectivity of these nodes. We describe several mobility models that represent mobile nodes whose movements are independent of each other (i. e. Entity mobility models) and several mobility models that represent mobile nodes whose movements are dependent on each other (i. e. Group mobility models) and several mobility models that represent mobile nodes whose movement in pre-defined path with the assumption of obstacles in the simulation terrain (i. e. Geographic Restriction models). The goal of this paper is to present a number of mobility models in order to offer researchers more well-versed choices when they are deciding on a mobility model to use in their performance evaluations. We incorporate more realistic mobility model that includes entity models (Manhattan model and Gauss-Markov model) and group mobility model (Reference Point Group Model) and Random Waypoint mobility model and Geographic Restriction model (Mission Critical Model). The random way point is used as a default mobility model in many network simulations. Our comparative analysis of the mobility models that are existing, are discussed on a variety of simulation settings and parameters like Packet Delivery Ratio (PDR), Average End to End Delay (ED), Control Overhead (CO), Generated packets (GP), Dropped Packets (DP) and Received packets (RP).

References

  • D. B. Johnson, D. A. Maltz, and J. Broch, "DSR: The Dynamic Source Routing Protocol for Multi-hop Wireless Ad hoc Networks," Ad hoc-Networking, edited by Charles E. Perkins, Chapter 5, Addison-Wesley, 2001 pp. 139-172.
  • S. Boschi, M. Di lanni, P. Crescenzi, G. Rossi, P. Vocca, Momose: a mobility model simulation environment for mobile wireless ad-hoc networks, in: Proceedings of the 1st International Conference on Simulation Tools and Techniques for Communications, Networks and Systems & Workshops (Simutools), 2008, pp. 1–10.
  • S. M. Mousavi, H. R. Rabiee, M. Moshref, A. Dabirmoghaddam,Mobisim: a framework for simulation of mobility models in mobile ad-hoc networks, in: IEEE International Conference on Wireless and Mobile Computing, networking and Communication,2007, pp. 0–82.
  • Ariyakhajorn, Jinthana Wannawilai, Pattana Sathitwiriyawong, Chanboon "A Comparative Study of Random Waypoint and Gauss-Markov Mobility Models in the Performance Evaluation of MANET" Communications and Information Technologies, 2006. ISCIT '06. International Symposium on 2 April 2007.
  • B. Divecha, A. Abraham, C. Grosan and S. Sanyal, "Impact of Node Mobility on MANET Routing Protocols Models," Journal of Digital Information Management, Vol. 4(1), February 2007, pp. 19 – 23.
  • C. Bettstetter, H. Hartenstein and X. Perez-Costa, "Stochastic Properties of the Random-Way Point Mobility Model," Wireless Networks, , Vol. 10(5), September 2004, pp. 555 –567.
  • Papageorgiou, P. Kokkinos, E. Varvarigos, Implementing distributed multicost routing in mobile ad hoc networks using DSR, in: 6-th ACM International Workshop on Mobility Management and Wireless Access, MobiWac, 2008.
  • D. Maltz, "The Dynamic Source Routing Protocol for Multi-Hop Ad Hoc Networks," Nov 5, 1999.
  • F. Bai, N. Sadagopan and A. Helmy, "IMPORTANT: A Framework to Systematically Analyze the Impact of Mobility on Performance of Routing Protocols for Ad hoc Networks," Proceedings of the IEEE International Conference on Computer Communications, March-April, 2003, pp. 825-835.
  • Vasanthi. V and Hemalatha. M, 2012. A Proportional Analysis of Dissimilar Mobility Models in Ad-Hoc Sensor Network over DSR Protocol. Int. J. Computer Applications 42 (15); PPno. 26-32 .
  • Jardosh, E. Belding-Royer, K. Almeroth, S. Suri, Real-world environment models for mobile network Evaluation, IEEE Journal on Selected Areas in Communications 23 (2005) pp. no. 622–632.
  • S. Ahmed, G. C. Karmakar, J. Kamruzzaman, Geographic constraint mobility model for ad hoc network, in: Proceedings of the 16th IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems(MASCOTS), 2008, pp. 1–10.
  • Md. Shohrab Hossain. , Mohammed Atiquzzaman, Stochastic properties and application of city section mobility model, in: Proceedings of the Proceedings of the 28th IEEE conference on Global telecommunications (GLOBECOM),2009, PP. 1140-1145.
  • Christos Papageorgiou at el "Modeling human mobility in obstacle-constrained ad hoc networks" Ad-hoc Networks 10(2012) pp. 421-435.
  • https://net. cs. unibonn. de/fileadmin/ag/martini/projekte/BonnMotion/src/BonnMotion_Docu. pdf.
  • C. E. Perkins and P. Bhagwat, "Highly Dynamic Destination Sequenced Distance Vector Routing for Mobile Computers," ACM SIGCOMM, pp. 234 –244, October 1994.
  • C. E. Perkins and E. M. Royer, "Ad hoc On- Demand Distance Vector Routing," Proceedings of the 2nd IEEE Workshop on Mobile Computing Systems and Applications, , February1999, pp. 90-100.
  • Broch et al"A Performance Comparison of Multi-Hop Wireless ad-hoc network routing protocols". proceeding of ACM/IEEEMobicom'98,Dallas,TX. pp. 85-97.
  • Venkateswaran. p, R. Ghosh, A. Das, S. Sanyal, R. Nandi, An obstacle based realistic ad-hoc mobility model for social networks, Journal of Networks 1 (2006) 37–44.
  • Latiff, L. A. and Fisal, N. 2003. 'Routing Protocols in Wireless Mobile Ad Hoc Network – A Review'. The 9th Asia-Pasific Conference on Communication (APCC 2003), vol. 2, pp. 600-604.
  • Guolong Lin, Guevara Noubir, and Rajmohan Raja-maran. "Mobility Models for Ad-hoc Network Simulation," Proceedings of INFOCOM, 2004.
  • M. I. M. Saad and Z. A. Zukarnain, "Performance Analysis of Random-based Mobility Models in MANET Routing Protocol," European Journal of Scientific Research, Vol. 32, No. 4, 2009, pp. 444-454.
  • P. Nain, D. Towsley, B. Liu, and Z. Liu, "Properties of Random Direction Models," INRIA technical report RR-5284,July 2004.
  • M. Sanchez and P. Manzoni, A Java-Based Ad Hoc Networks Simulator, in Proceedings of the SCS Western Multiconference Web-based Simulation Track, Jan. 1999.
  • Chatzigiannakis, A. Kinalis, G. Mylonas, S. Nikoletseas, G. Prasinos,C. Zaroliagis, Trails, a toolkit for efficient, realistic and evolving models of mobility, faults and obstacles in wireless networks, in:ANSS-41 '08: Proceedings of the 41st Annual Simulation Symposium, IEEE Computer Society, 2008, pp. 23–32.
  • Vasanthi. V, Ajith Singh. N, Romen Kumar. M and M. Hemalatha 2011 "A Detailed study of Mobility model in sensor network" Int. , Journal of Theoretical and Applied Information Technology (JATIT), and ISSN: 1992-8645, Scopus, and I. F-1. 71 15th Nov2011 vol 33(1) pg. no. 7-14.
  • T. Camp, J. Boleng, and V. Davies, "A Survey of Mobility Models for Ad Hoc Network Research," Wireless Communication & Mobile Computing (WCMC): Special Issue on Mobile Ad Hoc Networking: Research, Trends and Applications, Vol. 2(5),2002, pp. 483-502.
  • C-K. Toh, "Associatively-based Routing for Ad hoc-Mobile Networks," IEEE personal Communications, Vol. 4(2), 1997 pp. 103-109.
  • Papageorgiou, K. Birkos, T. Dagiuklas, S. Kotsopoulos, Simulating mission critical mobile ad hoc networks, in:Proceedings of the 4th ACM Workshop on Performance Monitoring and Measurement of Heterogeneous Wireless and Wired Networks (PM2HW2N), 2009.
  • K. Fall and K. Varadhan, Editors, "NS Notes and Documentation," The VINT Project, UC Berkeley, LBL, USC/ISI, and Xerox PARC, [Online]. Available: http://www. isi. edu/nsnam/ns/1999.
  • Naski, S. 'Performance of Ad Hoc Routing Protocols: Characteristics and Comparison". Seminar on Internetworking, Helsinki University of Technology, Finland, 2004.
  • Aschenbruck, Nils und Schwa born, Matthias: Synthetic Map-based Mobility Traces for the Performance Evaluation in Opportunistic Networks. In Proceedings of the 2nd International Workshop on Mobile Opportunistic Networking, MobiOpp 2010, Pisa, Italy, February 22-23, 2010, ACM, 2010, S. 143-146.
  • B. Liang and Z. Haas, "Predictive Distance-based Mobility Management for PCS Networks," Proceedings of the IEEE International Conference on Computer Communications, Vol. 3, March 1999, pp. 1377-1384.
  • Kapang Lego et. al. "Comparative Study of Ad-hoc Routing Protocol AODV, DSR and DSDV in Mobile Adhoc NETwork" Indian Journal of Computer Science and Engineering Vol. 1 No. 4 2010PP. no 364-371.
  • M. Zonoozi and P. Dassanayake. "User Mobility Modeling and Characterization of Mobility Pattern. " IEEE Journal on Selected Areas in Communications, 15(7), September 1997, PP. no 1239-1252.