Building of a Competent Mobility Model for Ad Hoc Wireless Networks

Mobility is a natural character of Ad Hoc networks. A realistic simulation of user movement in Ad Hoc Network is very important to the network performance. Therefore, by using a realistic mobility model, which is an important aspect in enhancing the self-confidence in the simulation result of the network. Although, each node’s movement is random, there are still some underlying disciplines in their mobility. By predicting the mobility of user that truly depicts nodes mobility in an Ad Hoc Network, is the first step of mobility management. In this manuscript an attempt has been made by proposing a new mobility model called restriction models for generating unusual mobility scenarios for Ad Hoc networks such as campus scenario. The propose algorithm performance has been evaluated using network simulator (ns2.35) for dynamic source routing (DSR). The results are compared with other mobility model such as Random way point. The results shows that our proposed algorithm has outperform the available mobility model for campus scenario.

[1]  Ahmed Helmy,et al.  IMPACT: Investigation of Mobile-user Patterns Across University Campuses using WLAN Trace Analysis , 2005, ArXiv.

[2]  Krzysztof Pawlikowski,et al.  On credibility of simulation studies of telecommunication networks , 2002, IEEE Commun. Mag..

[3]  Injong Rhee,et al.  On the levy-walk nature of human mobility , 2011, TNET.

[4]  Xiaohong Jiang,et al.  On the Delivery Probability of Two-Hop Relay MANETs with Erasure Coding , 2013, IEEE Transactions on Communications.

[5]  Houda Labiod.  Wireless Ad Hoc and Sensor Networks , 2007 .

[6]  Michalis Faloutsos,et al.  Long-range dependence ten years of Internet traffic modeling , 2004, IEEE Internet Computing.

[7]  Martin Vetterli,et al.  Locating Nodes with EASE: Mobility Diffusion of Last Encounters in Ad Hoc Networks , 2003, INFOCOM.

[8]  Subhasini Sharma,et al.  Mobility Metrics Based Classification & Analysis of Mobility Model for Tactical Network , 2010 .

[9]  Tracy Camp,et al.  A survey of mobility models for ad hoc network research , 2002, Wirel. Commun. Mob. Comput..

[10]  Catherine Rosenberg,et al.  What is the right model for wireless channel interference? , 2009, IEEE Trans. Wirel. Commun..

[11]  Elmar Gerhards-Padilla,et al.  A survey on mobility models for performance analysis in tactical mobile networks , 2023, Journal of Telecommunications and Information Technology.

[12]  Asma Tuteja,et al.  Comparative Performance Analysis of DSDV, AODV and DSR Routing Protocols in MANET Using NS2 , 2010, 2010 International Conference on Advances in Computer Engineering.

[13]  Kevin C. Almeroth,et al.  Towards realistic mobility models for mobile ad hoc networks , 2003, MobiCom '03.

[14]  Magdalena Balazinska,et al.  Characterizing mobility and network usage in a corporate wireless local-area network , 2003, MobiSys '03.

[15]  Eyal de Lara,et al.  An Empirical Evaluation of the Student-Net Delay Tolerant Network , 2006, 2006 3rd Annual International Conference on Mobile and Ubiquitous Systems - Workshops.

[16]  Jeffrey G. Andrews,et al.  A primer on spatial modeling and analysis in wireless networks , 2010, IEEE Communications Magazine.

[17]  Kyunghan Lee,et al.  On the Levy-Walk Nature of Human Mobility , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[18]  Ibrahim Matta,et al.  On the Universal Generation of Mobility Models , 2010, 2010 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems.

[19]  Jean-Yves Le Boudec,et al.  Power Law and Exponential Decay of Intercontact Times between Mobile Devices , 2007, IEEE Transactions on Mobile Computing.

[20]  Jie Wu,et al.  Mobility Reduces Uncertainty in MANETs , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

[21]  David Kotz,et al.  Analysis of a Campus-Wide Wireless Network , 2005, Wirel. Networks.

[22]  Stephen S. Rappaport,et al.  Traffic model and performance analysis for cellular mobile radio telephone systems with prioritized and nonprioritized handoff procedures , 1986, IEEE Transactions on Vehicular Technology.

[23]  Ahmed Helmy,et al.  A survey of mobility modeling and analysis in wireless adhoc networks , 2004 .

[24]  Wenye Wang,et al.  Empirical study on human mobility for mobile wireless networks , 2008, MILCOM 2008 - 2008 IEEE Military Communications Conference.

[25]  Paolo Santi,et al.  The Node Distribution of the Random Waypoint Mobility Model for Wireless Ad Hoc Networks , 2003, IEEE Trans. Mob. Comput..

[26]  Richard J. La,et al.  Distributional Convergence of Intermeeting Times under the Generalized Hybrid Random Walk Mobility Model , 2010, IEEE Transactions on Mobile Computing.