Synthetic map-based mobility traces for the performance evaluation in opportunistic networks

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.