Abstract
In mobile ad hoc network research, simulation plays an important role in determining the network characteristics and measuring performance. On the other hand, unrealistic simulation conditions may be misleading, instead of being explanatory. For this reason, constructing simulation models closer to the real circumstances is very significant. Movement behavior of mobile entities is one of the most important concepts for the realistic simulation scenarios in mobile ad hoc networks. In this study, we first provide a survey and a new hybrid classification of existing mobility models in the literature. We implemented the random direction and boundless simulation area models on Scalable Wireless Ad Hoc Network Simulator (SWANS) and conducted simulations of Ad Hoc On-Demand Distance Vector (AODV) protocol for these as well as the random walk and random waypoint models. Our comparative results for the mobility models are discussed on a variety of simulation settings and parameters.
This work is supported in part by TUBITAK (The Scientific and Technical Research Council of Turkey) under CAREER Award Grant 104E064.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless sensor networks: a survey. Computer Networks 38, 393–422 (2002)
The Official Bluetooth Wireless Info website, http://www.bluetooth.com/
Global System for Mobile Communications (GSM) official website, http://www.Gsmworld.com/
Frodigh, M., Johansson, P., Larsson, P.: Wireless ad hoc networking—The art of networking without a network. Ericsson Review No. 4 (2000)
Jubin, J., Tornow, J.D.: The DARPA Packet Radio Network Protocols. Proceedings of the IEEE 75(1), 21–32 (1987)
IETF MANET Group, http://www.ietf.org/html.charters/manet-charter.html
QualNet simulation environment, http://www.scalable-networks.com
JIST/ SWANS (Java in Simulation Time / Scalable Wireless Ad hoc Network Simulator) simulation environment. Available at: http://jist.ece.cornell.edu/
The Network Simulator - ns-2. Available at: http://www.isi.edu/nsnam/ns/
Bajaj, L., Takai, M., Ahuja, R., Tang, K., Bagrodia, R., Gerla, M.: GlomoSim: A Scalable Network Simulation Environment. Technical Report, #990027, UCLA (1997)
Davies, V.: Evaluating mobility models within an ad hoc network. Master’s thesis, Colorado School of Mines (2000)
Haas, Z.J., Pearlman, M.R.: The performance of query control schemes for the Zone Routing Protocol. In: Proceedings of ACM SIGCOMM, Vancouver, Canada (September 1998)
Camp, T., Boleng, J., Davies, V.: A survey of mobility models for ad hoc network research. Wireless Comm. and Mobile Computing (WCMC) 2(5), 483–502 (2002)
Royer, E., Melliar-Smith, P.M., Moser, L.: An analysis of the optimum node density for ad hoc mobile networks. In: Proc. IEEE International Conference on Communications (2001)
Jardosh, A., Royer, E., Almeroth, K., Suri, S.: Towards realistic mobility models for mobile ad hoc networks. In: MobiCom 2003 (September 2003)
Bettstetter, C.: Smooth is better than sharp: A random mobility model for simulation of wireless networks. In: Proceedings of MSWiM 2001. ACM, New York (July 2001)
Zheng, Q., Hong, X., Ray, S.: Recent Advances in Mobility Modeling for Mobile Ad Hoc Network Research. In: ACMSE 2004 (April 2004)
Stepanov, I., Marron, P.J., Rothermal, K.: Mobility Modeling of Outdoor Scenarios for MANETs. In: Proceedings of ANSS 2005 (2005)
Musolesi, M., Hailes, S., Mascolo, C.: An Ad Hoc Mobility Model Founded on Social Network Theory. In: MSWiM 2004 (October 2004)
Bettstetter, C., Wagner, C.: The Spatial Node Distribution of the Random Waypoint Model. In: Proceedings of the 1st German Workshop Mobile Ad Hoc Networks (WMAN) (2002)
Bettstetter, C., Hartenstein, H., Perez-Costa, X.: Stochastic Properties of the Random Waypoint Mobility Model. Wireless Networks 10, 555–567 (2004)
Perkins, C.E., Royer, E.M.: The Ad Hoc On-Demand Distance Vector Protocol. In: Perkins, C.E. (ed.) Ad hoc Networking, pp. 173–219. Addison-Wesley, Reading (2000)
Postel, J.: RFC 768: User Datagram Protocol (UDP)., http://www.ietf.org/rfc/rfc768.txt
Haas, Z.J.: A new routing protocol for reconfigurable wireless networks. In: Proc. IEEE International Conference on Universal Personal Communications (ICUPC) (Octotber 1997)
Lin, C.: Documentation: AODV Routing Implementation for Scalable Wireless Ad-Hoc Network Simulation (SWANS). JIST/SWANS web site. http://jist.ece.cornell.edu/
Broch, J., Maltz, D.A., Johnson, D., Hu, Y.-C., Jetcheva, J.: A Performance Comparison of Multi-Hop Wireless Ad Hoc Network Routing Protocols. In: Proceedings of the 4th Annual ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom), Dallas, Texas, pp. 85–97 (October 1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Atsan, E., Özkasap, Ö. (2006). A Classification and Performance Comparison of Mobility Models for Ad Hoc Networks. In: Kunz, T., Ravi, S.S. (eds) Ad-Hoc, Mobile, and Wireless Networks. ADHOC-NOW 2006. Lecture Notes in Computer Science, vol 4104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11814764_36
Download citation
DOI: https://doi.org/10.1007/11814764_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37246-2
Online ISBN: 978-3-540-37248-6
eBook Packages: Computer ScienceComputer Science (R0)