Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/16229
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dc.contributor.authorYusuf, ABBA KYARI-
dc.contributor.authorAGAJO, James-
dc.date.accessioned2022-12-29T06:31:13Z-
dc.date.available2022-12-29T06:31:13Z-
dc.date.issued2021-
dc.identifier.citationGazi University Journal of Scienceen_US
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/16229-
dc.description.abstractVegetation is a significant factor that affects the Quality of Service of radio waves. Several measurement campaigns have been conducted to predict the effect of trees on a radio wave at the micro and millimetre wavelengths. The experiments show that depth of vegetation is a major factor that contribute to signal attenuation. Furthermore, different components of the vegetation cause different behaviours of the radio wave. The empirical models did not put into to consideration the characteristics of the trees in the vegetation. The analytical approaches using wave theory have considered the vegetation characteristics, density and the geometry. This paper focuses on using existing models to characterise a vegetation based on measured parameters of a tree stand with a view to estimating the density of the foliage within a vegetation accurately. The foliage density will be used as the vegetation parameter in the wave theory model. Simulation of the signal attenuation will be conducted based on the density of the vegetation that will be estimated. The tree species selected for simulation are Pinus, Ash and Silver Birch tree species.en_US
dc.language.isoenen_US
dc.publisherGazi University Journal of Scienceen_US
dc.subjectWireless Signal Attenuation Vegetation Modelling Treesen_US
dc.titleWireless Signal Attenuation by Vegetation: Relationship Between Tree Characteristics and Signal Attenuationen_US
dc.typeArticleen_US
Appears in Collections:Computer Engineering



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