A group mobility model for ad hoc wireless networks
MSWiM '99 Proceedings of the 2nd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
Credibility assessment of simulation results
WSC '86 Proceedings of the 18th conference on Winter simulation
Smooth is better than sharp: a random mobility model for simulation of wireless networks
MSWIM '01 Proceedings of the 4th ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
MANET simulation studies: the incredibles
ACM SIGMOBILE Mobile Computing and Communications Review - Special Issue on Medium Access and Call Admission Control Algorithms for Next Generation Wireless Networks.: The Digital Library version of this issue has a corrected special issue title compared to the one in the print version of the issue.
A Visualization and Analysis Tool for NS-2 Wireless Simulations: iNSpect
MASCOTS '05 Proceedings of the 13th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
Stationary Distributions for the Random Waypoint Mobility Model
IEEE Transactions on Mobile Computing
On credibility of simulation studies of telecommunication networks
IEEE Communications Magazine
RealMobiSim: realistic mobility simulator and analyzer
Proceedings of the 3nd ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Towards modeling realistic mobility for performance evaluations in MANET
ADHOC-NOW'10 Proceedings of the 9th international conference on Ad-hoc, mobile and wireless networks
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Building a valid, credible, and appropriately detailed simulation model is crucial for conducting accurate and meaningful simulation study in mobile computing. In a recent survey conducted on the papers published in the proceedings of ACM MobiHoc symposium between 2000 and 2005, it is observed that the credibility of the simulation results has decreased while the use of simulation has increased. Part of this credibility crisis is related to the simulation of mobility of the nodes in the system. It is not surprising to see that mobility has such a fundamental influence on the behavior of mobile systems. Therefore, a clear knowledge about mobility used in the system is not only helpful but also essential for the understanding and interpretation of the system behavior under study. Proper knowledge about the mobility of the nodes in the system can be better obtained by having a tool or a component that is independent and interactive to specify, visualize, analyze, and then generate mobility traces for the simulation. This paper present such a mobility generator software tool called RMobiGen that we developed. We conducted extensive simulation experiments on RMobiGen to analyze the random mobility models for movement, coverage, and connectivity analysis of the nodes.