Analyzing MANET jamming strategies
| dc.contributor.author | Millman, Eamon | |
| dc.contributor.supervisor | Neville, Stephen William | |
| dc.date.accessioned | 2011-12-19T23:13:37Z | |
| dc.date.available | 2011-12-19T23:13:37Z | |
| dc.date.copyright | 2011 | en_US |
| dc.date.issued | 2011-12-19 | |
| dc.degree.department | Department of Electrical and Computer Engineering | |
| dc.degree.level | Master of Applied Science M.A.Sc. | en_US |
| dc.description.abstract | 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. | en_US |
| dc.description.scholarlevel | Graduate | en_US |
| dc.identifier.uri | http://hdl.handle.net/1828/3745 | |
| dc.language | English | eng |
| dc.language.iso | en | en_US |
| dc.rights.temp | Available to the World Wide Web | en_US |
| dc.subject | MANET | en_US |
| dc.subject | Simulation | en_US |
| dc.subject | Network | en_US |
| dc.subject | Statistics | en_US |
| dc.title | Analyzing MANET jamming strategies | en_US |
| dc.type | Thesis | en_US |