A Novel Mobility Model for Realistic Behavior in Vehicular Ad Hoc Network

Mobility models or the movement patterns of nodes communicating wirelessely, play a vital role in the simulation-based evaluation of vehicular Ad Hoc Networks (VANETs). Even though recent research has developed models that better corresponds to real world mobility, we still have a limited understanding of the level of the required level of mobility details for modeling and simulating VANETs. In this paper, we propose a new mobility model for VANETs that works on the city area. In this model we map the topology of streets and behavior of vehicles at the intersection of roads. In our proposed model, we change the speed of nodes after some specific distance in accordance to neighboring nodes, so this will lead a realistic situation on the roads. Our new proposed model accounts the various characteristics of VANETs such as traffic lights, acceleration/deceleration due to nearby vehicles, attraction points where maximum numbers of vehicle tends to go. Using the real and controlled map of street, we compare our mobility model with the random direction mobility model. Our result demonstrates that probability of link availability in VANETs is more sensitive to the vehicles waiting at intersections and acceleration/deceleration of vehicles. We also found that probability of link availability suffers at the intersection of the roads, because some nodes cross the signal continue movement in horizontal direction while some nodes change the direction of traveling to vertical.

[1]  Joseph Mouzna,et al.  Density aware routing using road hierarchy for vehicular networks , 2009, 2009 IEEE/INFORMS International Conference on Service Operations, Logistics and Informatics.

[2]  Yan Zhang,et al.  Reference region group mobility model for ad hoc networks , 2005, Second IFIP International Conference on Wireless and Optical Communications Networks, 2005. WOCN 2005..

[3]  Zhengtao Xiang,et al.  An improved AOMDV routing protocol for V2V communication , 2009, 2009 IEEE Intelligent Vehicles Symposium.

[4]  C. Sathitwiriyawong,et al.  A Comparative Study of Random Waypoint and Gauss-Markov Mobility Models in the Performance Evaluation of MANET , 2006, 2006 International Symposium on Communications and Information Technologies.

[5]  Fei Gao,et al.  Nonuniform Property of Random Direction Mobility Model for MANET , 2009, 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing.

[6]  Pietro Manzoni,et al.  ANEJOS: a Java based simulator for ad hoc networks , 2001, Future Gener. Comput. Syst..

[7]  H. Pedram,et al.  Adaptive routing protocols for vehicular ad hoc networks , 2008, 2008 International Symposium on Telecommunications.

[8]  Fabián E. Bustamante,et al.  An integrated mobility and traffic model for vehicular wireless networks , 2005, VANET '05.

[9]  V. Vetriselvi,et al.  Trace Based Mobility Model for Ad Hoc Networks , 2007 .

[10]  Alicia Nicki Washington,et al.  Epidemic Modeling of Military Networks Using Group and Entity Mobility Models , 2008, Fifth International Conference on Information Technology: New Generations (itng 2008).

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

[12]  Ciprian Dobre,et al.  A Realistic Mobility Model Based on Social Networks for the Simulation of VANETs , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[13]  Helbing,et al.  Congested traffic states in empirical observations and microscopic simulations , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[14]  Kun-Chan Lan,et al.  Rapid Generation of Realistic Mobility Models for VANET , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[15]  Christian Bonnet,et al.  Mobility models for vehicular ad hoc networks: a survey and taxonomy , 2009, IEEE Communications Surveys & Tutorials.

[16]  Noël Crespi,et al.  Mobility Model for User's Realistic Behavior in Mobile Ad Hoc Network , 2010, 2010 8th Annual Communication Networks and Services Research Conference.