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dc.contributor.advisorKepuska, Veton
dc.contributor.authorAlshawi, Bandar Mohammad
dc.date.accessioned2019-10-08T19:47:33Z
dc.date.available2019-10-08T19:47:33Z
dc.date.created2019-05
dc.date.issued2019-05
dc.date.submittedMay 2019
dc.identifier.urihttp://hdl.handle.net/11141/2958
dc.descriptionThesis (Ph.D.) - Florida Institute of Technology, 2019en_US
dc.description.abstractWireless sensor network (WSN) nodes, in mountainous forests, report real-time data to base stations concerning events, in which researchers and decision makers are interested in. A thorough research reveals the deficiency of any study modeling radio frequency (RF) in that environment. The lack of accurately modeling RF signal propagation in any environment can have a great impact on the network life, connectivity, and coverage. This dissertation models the loss of RF signal in the mountainous environment and demonstrates the inconsistency of theoretical models, compared to actual measurements. The models proposed in this research yield satisfactory results, and the theoretical models produce underpredictions of 29% to 45%. Environmental and technical factors are characterized to determine the impact of each factor on the RF signal propagation, and to investigate the interactions between those factors. The factors being studied are distance, power, transmitter level, and obstruction level. The results of the characterization reveal which factor has highest and lowest effect on the RF signal propagation. This dissertation can aid in the design and deployment of WSNs in harsh mountainous environment.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.rightsCopyright held by author.en_US
dc.titleCharacterization of RF Signal Propagation for Wireless Sensor Network Deployed in Mountainous Environmenten_US
dc.typeDissertationen_US
dc.date.updated2019-08-12T15:56:48Z
thesis.degree.nameDoctore of Philosophy in Computer Engineeringen_US
thesis.degree.levelDoctoralen_US
thesis.degree.disciplineComputer Engineeringen_US
thesis.degree.departmentComputer Engineering and Sciencesen_US
thesis.degree.grantorFlorida Institute of Technologyen_US
dc.type.materialtext


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