Interference Modelling and Broadcast Protocols for Cognitive Radio Mesh Networks
Date
2018-06-07
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Abstract
The main aim of this thesis will be the modeling and characterization of wireless interference experienced by Wireless Sensor Networks (WSNs) especially in industrial applications. A comparative study between two broadcasting techniques, namely flooding and Network Coding (NC) was performed, in order find which has better performance in the presence of interference. The study aimed at finding which protocol had better timing and energy efficiency for different interfering network parameters. An interference model was proposed that simultaneously models the probability density function of the interference envelope, the temporal and spatial correlation. The model also allows for the synthesis of interference signals that relate to the interfering network parameters. When simulating a network, the performance metrics of the network were shown to be similar when using synthesized interference from the model or using interference that is simulated from an interfering network. Two measurement campaigns were performed in this thesis. The first campaign was a multi-antenna measurement characterize the small-scale and large-scale channel effects in a gas refinery. The second measurement campaign measured interference statistics such as the probability density function, temporal correlation, and the spatial correlation of the interference.
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Keywords
Interference model, interference measurements, broadcast, random linear network coding, propagation measurements, cognitive radio
Citation
Mohamed G. (2018). Interference Modelling and Broadcast Protocols for Cognitive Radio Mesh Networks (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/31988