Mobile Ad-hoc Wireless Networks (MANETs) present a new paradigm in which to realize a variety of communication technologies and services. The use of stochastic event-based simulation is a common approach to modelling MANET operations as part of the engineering process. To improve observations many simulations are often averaged together to produce estimations of MANET operation; however, to be statistically meaningful start-up transients must be removed, and only ergodic data averaged. These statistical issues of stationarity and ergodicity are often approached in an ad-hoc manner, if at all. This thesis presents a formal method to address these two statistical issues and applies it to the problem of quantifying MANET operation under different physical-layer jamming strategies. This demonstration illustrates the complex nature of MANET operation and the need for rigorous statistical analysis as part of the engineering process. / Graduate
| Identifer | oai:union.ndltd.org:uvic.ca/oai:dspace.library.uvic.ca:1828/3745 |
| Date | 19 December 2011 |
| Creators | Millman, Eamon |
| Contributors | Neville, Stephen William |
| Source Sets | University of Victoria |
| Language | English, English |
| Detected Language | English |
| Type | Thesis |
| Rights | Available to the World Wide Web |
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