Date of Award
Doctor of Philosophy (PhD)
Computer Engineering and Sciences
This dissertation proposes an empirical model for prediction of the radio path loss in Wireless Sensor Networks (WSNs). The model applies to WSNs that are deployed in environments with dust and sand storms. It is developed as a result of statistical analysis of the measured data collected during dust and sand storms. The measured data were obtained at 2.4GHz and for different levels of the storm severity. For the purpose of data collection a custom measurement system based on Xbee air interface was developed. The proposed model shows a very good agreement with the measured data. It is also demonstrated that the radio path loss correlates very well with the wind speed. Therefore, the wind may be considered as a principle source that determines the severity of the dust and sand storms from the path loss standpoint.
Mujlid, Hana Mohammed, "Real-Time Monitoring of Sand and Dust Storm Winds Using Wireless Sensor Technology" (2016). Theses and Dissertations. 830.