search query: @supervisor Ott, Jörg / total: 99
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Author: | Ekman, Frans Wilhelm Bernhard |
Title: | Mobility Models for Mobile Ad Hoc Network Simulations |
Rörelsemodeller för simulering av mobila ad hoc nätverk | |
Publication type: | Master's thesis |
Publication year: | 2008 |
Pages: | (6) + 90 Language: eng |
Department/School: | Elektroniikan, tietoliikenteen ja automaation tiedekunta |
Main subject: | Tietoverkkotekniikka (S-38) |
Supervisor: | Ott, Jörg |
Instructor: | Karvo, Jouni |
OEVS: | Electronic archive copy is available via Aalto Thesis Database.
Instructions Reading digital theses in the closed network of the Aalto University Harald Herlin Learning CentreIn the closed network of Learning Centre you can read digital and digitized theses not available in the open network. The Learning Centre contact details and opening hours: https://learningcentre.aalto.fi/en/harald-herlin-learning-centre/ You can read theses on the Learning Centre customer computers, which are available on all floors.
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Location: | P1 Ark S80 | Archive |
Keywords: | mobility model simulation delay-tolerant network DTN routing rörelsemodell simulering fördröjningstoleranta nätverk vägval |
Abstract (eng): | 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. |
ED: | 2008-07-29 |
INSSI record number: 35911
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