Graph-Based Mobility Model for Mobile Ad Hoc Network Simulation
SS '02 Proceedings of the 35th Annual Simulation Symposium
Access and mobility of wireless PDA users
ACM SIGMOBILE Mobile Computing and Communications Review
Pocket switched networks and human mobility in conference environments
Proceedings of the 2005 ACM SIGCOMM workshop on Delay-tolerant networking
Proceedings of the 3rd ACM international workshop on Wireless mobile applications and services on WLAN hotspots
Reality mining: sensing complex social systems
Personal and Ubiquitous Computing
Proceedings of the 1st ACM SIGMOBILE workshop on Mobility models
BonnMotion: a mobility scenario generation and analysis tool
Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques
Opportunistic networking: data forwarding in disconnected mobile ad hoc networks
IEEE Communications Magazine
A realistic trace-based mobility model for first responder scenarios
Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems
Arbitrary street density distributions for modeling mobility in urban scenarios
ACM SIGMOBILE Mobile Computing and Communications Review
Trace-based mobility modeling for multi-hop wireless networks
Computer Communications
Link quality estimation in wireless multi-hop networks using Kernel based methods
Computer Networks: The International Journal of Computer and Telecommunications Networking
| Hi-index | 0.00 |
Realistic, scenario-dependent mobility modeling is crucial for the reliable performance evaluation of wireless networks. For opportunistic networks several measured movement traces are available. However, for scalability and abstraction of the measured scenarios, synthetic mobility models are needed. In the last decade a significant number of synthetic mobility models have been proposed. However, many of these models lack realism. For example, they miss to consider geographic restrictions in a realistic way. In contrast to this, realistic maps are publicly available. Thus, these maps can help integrating geographic restrictions into mobility models. A quite simple way is to integrate location-based services into a scenario modeling tool. In this paper we show such an integration and evaluate the performance of it, as well. The performance evaluation shows that the runtime for the scenario generation is pretty small, even though location-based services are used.