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dc.contributor.advisorKostanic, Ivica
dc.contributor.authorMujlid, Hana Mohammed
dc.date.accessioned2016-10-04T16:56:02Z
dc.date.available2016-10-04T16:56:02Z
dc.date.issued2016-09
dc.identifier.urihttp://hdl.handle.net/11141/1073
dc.descriptionThesis (Ph.D.) - Florida Institute of Technology, 2016en_US
dc.description.abstractThis 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.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.rightsCC By Creative Commons with Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en_US
dc.titleReal-time Monitoring of Sand and Dust Storm Winds Using Wireless Sensor Technologyen_US
dc.typeDissertationen_US
dc.date.updated2016-09-23T17:27:35Z
thesis.degree.nameDoctor of Philosophy in Computer Engineeringen_US
thesis.degree.levelDoctoralen_US
thesis.degree.disciplineComputer Engineeringen_US
thesis.degree.departmentElectrical and Computer Engineeringen_US
thesis.degree.grantorFlorida Institute of Technologyen_US
dc.type.materialtext


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