Studies and Investigation on an Integrated Mobility Models for Mobile Adhoc Network in Urban Area

论文摘要

Wireless networks are increasing in popularity due to the current advances in technology. Wireless networks allow users the freedom to travel from one location to another without interruption of their computing services. However, wireless networks require the existence of a wired base station in order for the wireless user to send/receive messages. Mobile Ad hoc networks, a subset of wireless networks, allow the formation of a wireless network without the need for a base station. MANETs are constituted by mobile devices equipped with short rang radio. Communication is possible between devices within each other’s radio range. The mobility lead to frequent topology changes in such networks, which harden typical networking tasksIn order to conduct meaningful performance analysis in the context of Mobile Ad Hoc Networks （MANET）, it is essential that the underlying mobility model on which the simulation is based on reects realistic mobility behavior. Mobility clearly is an integral issue in mobile wireless networks. However, little research has focused on realistic mobility. Unrealistic mobility models, such as using random models alone, may result in incorrect conclusions regarding the performance evaluation of mobile wireless network protocols.This thesis introduces a combined mobility model （Random Waypoint with Manhattan and Group with manhattan） that attempt to generate realistic mobility for mobile wireless network simulation in an urban area environment. We consider a typical urban scenario for Mobile Ad hoc NETwork （MANET） deployment. Urban scenarios differ profoundly from open space scenarios, which so far have been the main object of study in MANET research. Moreover, they are of great interest for actual MANET deployment in the real-world. We study the main characteristics of urban scenarios in terms of routing protocols, radio propagation, node connectivity, node mobility and traffic patterns. Their impact on the overall network performance is investigated through simulation experiments based on a synthetic modeling of the most important aspects of an urban scenario. The experimental results point out the difficulties of urban environments with respect to the open space case and show the effect of using in such scenarios.The evaluation of a MANET in urban area environment is under different metrics with the absence of wireless infrastructure and with presence wireless infrastructure in the communication environment. Simulation results are presented using routing protocols （DSDV, and AODV）, two previously published MANET routing algorithms, mobility metrics, connectivity metrics and most popular radio propagation models, which have complementary characteristics, have been used to assess the performance. These results illustrate that mobility model changes have a significant impact on their performance.The results underscore the importance of using realistic mobility scenarios in MANET simulation and demonstrate the efficiency of using an integrated mobility model in urban area scenario. It is hoped that this work will greatly increase the fidelity of mobile wireless network performance evaluation. Further, it is hoped that this work also is usher in a new investigation of urban mobile wireless networks.

论文目录

• ACKNOWLEDGEMENTS
• ABSTRACT
• LIST OF TABLES
• LIST OF FIGURES
• LIST OF ABBREVIATIONS
• Chapter 1 Introduction
• 1.1 Introduction
• 1.2 Motivations
• 1.3 Thesis Overview
• Chapter 2 Related Works
• 2.1 Introduction
• 2.2 Random Mobility Models
• 2.2.1 Random Walkmodel
• 2.2.2 Random Direction Mobility Model
• 2.2.3 Boundless Simulation Area Mobility Model
• 2.2.4 Smooth Random Mobility Model
• 2.2.5 Gauss-Markov Mobility Model
• 2.2.6 Random Waypoint Mobility Model
• 2.3 Group-Mobility Models
• 2.3.1 Column Mobility Model
• 2.3.2 Nomadic Community Mobility Model
• 2.3.3 Pursue Mobility Model
• 2.3.4 Reference Point Group Mobility Model
• 2.4 Geographic Restriction Mobility Model
• 2.4.1 Pathway Mobility Model
• 2.4.2 Obstacle Mobility Model
• 2.4.3 Graph-based Mobility Model
• 2.4.4 Other Mobility Models
• 2.5 Conclusion
• Chapter 3 Urban Area Environment Model Implementation Details
• 3.1 Back Ground
• 3.2 Urbanarea Modeling Description
• 3.3 Parameters applying for RWP and MH Mobility Models
• 3.4 Parameters used in urban area
• 3.5 Software Design
• 3.6 Conclusion
• Chapter 4 Evaluate the performance on Indoor and Outdoor Environment for MANET in urban area
• 4.1 Introduction
• 4.2 Adhocrouting protocols
• 4.2.1 Destination-Sequenced Distance Vector
• 4.2.2 Ad-Hoc On demand distance Vector
• 4.2.3 Dynamic Source Routing
• 4.3 Scenario Description
• 4.4 Results and Discussions
• 4.5 Conclusion
• Chapter 5 the effect of Mobility and Connectivity Metrics for MANET in urban area
• 5.1 Introduction
• 5.2 Mobility and Connectivity Metrics
• 5.2.1 Speed-based Metrics
• 5.2.2 Link-based Metrics
• 5.2.3 Density-based Metrics
• 5.3 Scenario Description
• 5.4 Results and Discussions
• 5.5 Conclusion
• Chapter 6 the Impact of Radio Propagation Models for MANET in urban area
• 6.1 Introduction
• 6.2 Different Radio Propagation Models
• 6.2.1 Free Space model
• 6.2.2 Two Ray Ground model
• 6.2.3 Ricean and Rayleigh fading models
• 6.2.4 Shadowing model
• 6.3 Scenario Description
• 6.4 Results and Discussions
• 6.5 Conclusion
• Chapter 7 An Enhanced Urban Area Environment Model
• 7.1 Improved urban area Model
• 7.2 Parameters Used in an improved Model
• 7.3 Parameters applying for RPGM and Manhattan mobility models
• 7.4.Scenario Description
• 7.5 Results and Discussions
• 7.5.1 Routing performance
• 7.5.2 Link analysis
• 7.5.3 Propagation performance
• 7.6 Conclusion
• Chapter 8 Conclusion and Future Works
• 8.1 Conclusion
• 8.2 Future Work
• References
• Appendix-A
• Appendix-B
• Appendix-C
• Appendix-D
• Appendix-E
• Appendix-F
• Publications