Abstract
The detail characteristics of the random walk mobility model are described including derivation of the analytical model. The analytical model of the RW has a close match with the simulation results. The limitations of the RW model in reflecting real-world MANET scenarios are explained. Some variations of the RW model such as MRW, SIMM, and GIMM, which improve on RW, are also described.
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References
Nelson, E (1967) Dynamical Theories of Brownian Motion, 2nd Edition. Princeton University
Camp, T et al (2002) A Survey of Mobility Models for Ad Hoc Network research. WCMC
Davis, V A (2000) Evaluating Mobility Models within an Ad Hoc Network. Master of Science Thesis. Department of Mathematics, Golden, Colorado
Bar-Noy, A et al (1994) Mobile Users: To Update or not to Update? INFOCOM
Bar-Noy, A and Kessler, I (1993) Tracking Mobile Users in Wireless Communications. INFOCOM
Burulitisz, A et al (2002) On the Accuracy of Mobility Modelling in Wireless Networks. SoftCOM
Ho, J S M and Akyildiz, I F (1995) Mobile user location update and paging under delay constraints. Wireless Networks 1(4)
Akyildiz, I F et al (1996) Movement-based location update and selective paging for PCS networks. IEEE/ACM Transactions on Networking 4(4)
Kim, T S et al (1998) Mobility and traffic analyses in three-dimensional PCS environments. IEEE Transactions on Vehicular Technology 47(2)
Basu, P et al (2004) Coordinated Flocking of UAV for Improved Connectivity of Mobile Ground Nodes. MILCOM
McGuire, M (2005) Stationary Distributions of Random Walk Mobility Models for Wireless Ad Hoc Networks. MobiHoc
Groenevelt, RB et al (2004) Relaying in Mobile Ad Hoc Networks: The Brownian Motion Mobility Model. INRIA
Bai, F et al (2003) IMPORTANT: A Framework to Systematically Analyze the Impact of Mobility on Performance of Routing Protocols for Ad Hoc Networks. INFOCOM
Liang, B and Hass, ZH (1999) Predictive Distance-Based Mobility Management for Multidimensional PCS Network. INFOCOM
Tolety, V (1999) Load Reduction in Ad Hoc Networks using Mobile Servers. Master’s Thesis. School of Mines, Colorado
Bettstetter, C et al (2004) Stochastic Properties of the Random Waypoint Mobility Model. Wireless Networks
Yoon, J et al (2003) Sound Mobility Models. MobiCom
Boudec, J L and Vojnovic, M (2005) Perfect Simulation and Stationary of a Class of Mobility Models. INFOCOM
Giner, V C (2004) Study of mobility behavior of new Internet mobile users. Delivery Version No. 1, Euro-NGI
Chiang, C (1998) Wireless Network Multicasting. PhD Thesis. Department of Computer Science, University of California, Los Angeles
Campos, C A V et al (2004) Realistic Individual Mobility Markovian Models for Mobile Ad Hoc Networks. WCNC
D. Turgut, D et al (2001) Longevity of Routes in Mobile Ad Hoc Networks. VTC
Li, Q and Rus, D (2003) Communication in disconnected ad hoc networks using message relay. Journal of Parallel and Distributed Computing
Yoon, J et al (2003) Random Waypoint considered Harmful. INFOCOM
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Roy, R.R. (2011). Random Walk Mobility. In: Handbook of Mobile Ad Hoc Networks for Mobility Models. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-6050-4_3
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DOI: https://doi.org/10.1007/978-1-4419-6050-4_3
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