Messier, GeoffreyHerrmann, Michael James2017-09-202017-09-2020172017http://hdl.handle.net/11023/4114This thesis investigates wireless sensor network design for industrial petroleum refineries. A wireless channel measurement campaign is conducted in a Shell Canada gas refinery west of Calgary. The propagation measurements are the first to characterize the large-scale channel statistics for peer-to-peer transmission in an outdoor refinery environment. It is shown that the propagation is well characterized by the familiar standard pathloss and log-normal shadowing model. This model is then used in building a machine-to-machine network performance simulation for process control in a petroleum refinery. The simulation requires the use of cross-layer optimizations to determine the routes which maximize the network lifetime. Linear Programming and Mixed Integer Linear Programming problems are formulated and evaluated to solve the cross-layer design problem. Carrier Sense Multiple Access (CSMA) and Time Division Multiple Access (TDMA) schemes are both used, but it is shown that TDMA has superior performance.engUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.Engineering--Electronics and Electricalmachine to machinePetroleumWirelessoptimizationwsanmaster thesis10.11575/PRISM/25563