Rörelsemodeller för simulering av mobila ad hoc nätverk

Delay-tolerant networks are characterized by opportunistic connectivity and long delays. A certain field of delay-tolerant networking focuses on sparsely populated ad hoc networks, where packets are routed in a store-and-forward manner. Many aspects of real world movement are not captured reliably in the simple movement models that are often used in delay-tolerant network simulations. Thus, approaches to create more realistic movement models are justified. This master's thesis presents a movement model designed using a submodel approach. The model present the everyday life of average people that go to work in the morning, spend their day at work, do some activity with their friends in the evening and finally commute back to their homes. Movement takes place on a real world map, where nodes can move along roads. In addition to walking, public transportation and cars introduce more diverse movement patterns. The model is validated by simulation and the statistical features of the model are compared to real world traces. Additional experiments are conducted to show the configurability of the model and the impact of the parameters. Again, statistical features are used for comparisons while simulation of the Epidemic routing protocol provides a ground for sensitivity analysis