Sabuj, Saifur RahmanRahman, Md. MosaddequrEusufzai, FarihaHaq, TahmidulChowdhury, SumitSahren, Shohani2021-04-212021-04-2120202020-10ID: 19121146ID: 16210009ID: 16321034ID: 16221010http://hdl.handle.net/10361/14405Cataloged from PDF version of thesis.Includes bibliographical references (pages 32-40).This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2020.Over the past decade, human interest in wireless communication has increased remarkably, and this has led to the development of the Internet of Things (IoT), Cloud, Fog, and Edge Computing. Existing wireless network models face several problems: low mobility, shortage of storage space, and slow data transfer speed due to the increased data traffic. As 127 new IoT devices are connected to the web every second, finding the solution to these problems has become a necessity. To improve the baud rate, Cognitive Radio was introduced, allowing the signals to select the shortest possible route during transmission. This paper proposes a model for CIoT-Fog-Cloud networking and the Reconfigurable Intelligent Surface (RIS) framework to resolve some of the problems. Fog-Cloud computation and Fog-Fog computation are the two situations considered to explain that storage computation would be more efficient, owning to a reduced physical distance between the Fog Nodes. The simulation results provided signs of quicker data transfer with low energy consumption and less transmission time40 pagesen-USBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.Cloud ComputingCognitive RadioEdge ComputingFog ComputingInternet of ThingReconfigurable Intelligent SurfaceThesis