Table of Contents
Chapter 1: Next Generation Wireless Networks
Chapter 2: Modeling Next Generation Wireless Networks
Chapter 3: Mobility Models for Next Generation Wireless Networks
3.2 Cellular vs. Next Generation Wireless Network Mobility Models
3.3 A Taxonomy of Existing Mobility Models
3.4 Mobility Models and Real-World Traces: The CRAWDAD Resource
Part Two: “General-Purpose” Mobility Models
4.4 Theoretical Properties of Random Walk Models
Chapter 5: The Random Waypoint Model
5.2 The Node Spatial Distribution of the RWP Model
5.3 The Average Nodal Speed of the RWP Model
Chapter 6: Group Mobility and Other Synthetic Mobility Models
6.2 Other Synthetic Mobility Models
7.1 The Class of Random Trip Models
7.2 Stationarity of Random Trip Models
7.3 Examples of Random Trip Models
Part Three: Mobility Models for WLAN and Mesh Networks
Chapter 8: WLAN and Mesh Networks
8.1 WLAN and Mesh Networks: State of the Art
8.2 WLAN and Mesh Networks: User Scenarios
8.3 WLAN and Mesh Networks: Perspectives
Chapter 9: Real-World WLAN Mobility
Chapter 10: WLAN Mobility Models
10.3 Final Considerations and Further Reading
Part Four: Mobility Models for Vehicular Networks
Chapter 11: Vehicular Networks
11.1 Vehicular Networks: State of the Art
11.2 Vehicular Networks: User Scenarios
11.3 Vehicular Networks: Perspectives
Chapter 12: Vehicular Networks: Macroscopic and Microscopic Mobility Models
12.1 Vehicular Mobility Models: The Macroscopic View
12.2 Vehicular Mobility Models: The Microscopic View
Chapter 13: Microscopic Vehicular Mobility Models
13.1 Simple Microscopic Mobility Models
13.3 Integrating Vehicular Mobility and Wireless Network Simulation
Part Five: Mobility Models for Wireless Sensor Networks
Chapter 14: Wireless Sensor Networks
14.1 Wireless Sensor Networks: State of the Art
14.2 Wireless Sensor Networks: User Scenarios
Chapter 15: Wireless Sensor Networks: Passive Mobility Models
15.2 Mobility Models for Wildlife Tracking Applications
15.3 Modeling Movement Caused by External Forces
Chapter 16: Wireless Sensor Networks: Active Mobility Models
16.1 Active Mobility of Sensor Nodes
16.2 Active Mobility of Sink Nodes
Part Six: Mobility Models for Opportunistic Networks
Chapter 17: Opportunistic Networks
17.1 Opportunistic Networks: State of the Art
17.2 Opportunistic Networks: User Scenarios
17.3 Opportunistic Networks: Perspectives
Chapter 18: Routing in Opportunistic Networks
18.1 Mobility-Assisted Routing in Opportunistic Networks
18.2 Opportunistic Network Mobility Metrics
Chapter 19: Mobile Social Network Analysis
19.2 Centrality and Clustering Metrics
19.3 Characterizations of Human Mobility
Chapter 20: Social-Based Mobility Models
20.1 The Weighted Random Waypoint Mobility Model
20.2 The Time-Variant Community Mobility Model
20.3 The Community-Based Mobility Model
20.5 The Self-Similar Least Action Walk Model
Chapter 21: Random Waypoint Model and Wireless Network Simulation
21.1 RWP Model and Simulation Accuracy
21.2 Removing the Border Effect
21.4 The RWP Model and “Perfect Simulation”
Chapter 22: Mobility Modeling and Opportunistic Network Performance Analysis
22.1 Unicast in Opportunistic Networks
22.2 Broadcast in Opportunistic Networks
Appendix A: Elements of Probability Theory
A.1 Basic Notions of Probability Theory
Appendix B: Elements of Graph Theory, Asymptotic Notation, and Miscellaneous Notions
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