Diploma Thesis DIP-2195

BibliographyMoltenbrey, Michael: Entwurf eines adaptiven und interaktiven Systems für die Analyse von Algorithmen zur Datenverwaltung in mobilen Ad-hoc-Netzen.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Diploma Thesis No. 2195 (2004).
135 pages, english.
CR-SchemaC.2.1 (Network Architecture and Design)
C.2.2 (Network Protocols)
C.4 (Performance of Systems)
I.6.1 (Simulation Theory)
I.6.8 (Types of Simulation)
Abstract

With the increasing importance of mobile and wireless applications in our daily life, methods of performance analysis of these applications becomes more and more important.

However, mobile and wireless networks implicate new challenges. Among these challenges are mobility of network nodes, limited resources of mobile devices and the unreliability in communication. Mobility causes frequent changes in the network topology which have to be compensated.

A common performance analysis method is network simulations. Numerous network simulators have been developed over the years. Traditional network simulators focus on wired networks cannot be applied to mobile and wireless networks since they are not able to cope with these challenges. However, an increasing number of simulators have been adapted to fit the needs of mobile and wireless networks or have been newly developed. Only few of them are able to deal with mobile ad hoc networks.

Additionally, state-of-the-art network simulators have a high resource consumption and lack certain features, like modularity, adaptability and interactivity that would ease the use of simulations. Therefore, we develop the central components of a new network simulation tool which supports these features.

We provide an implementation of a prototype system which supports our design concepts and which allows the simulation of wireless scenarios.

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Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems
Entry dateOctober 11, 2004
   Publ. Computer Science