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dc.contributor.advisorSabuj, Saifur Rahman
dc.contributor.advisorRahman, Md. Mosaddequr
dc.contributor.authorEusufzai, Fariha
dc.contributor.authorHaq, Tahmidul
dc.contributor.authorChowdhury, Sumit
dc.contributor.authorSahren, Shohani
dc.date.accessioned2021-04-21T05:59:50Z
dc.date.available2021-04-21T05:59:50Z
dc.date.copyright2020
dc.date.issued2020-10
dc.identifier.otherID: 19121146
dc.identifier.otherID: 16210009
dc.identifier.otherID: 16321034
dc.identifier.otherID: 16221010
dc.identifier.urihttp://hdl.handle.net/10361/14405
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2020.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 32-40).
dc.description.abstractOver 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 timeen_US
dc.description.statementofresponsibilityFariha Eusufzai
dc.description.statementofresponsibilityTahmidul Haq
dc.description.statementofresponsibilitySumit Chowdhury
dc.description.statementofresponsibilityShohani Sahren
dc.format.extent40 pages
dc.language.isoen_USen_US
dc.publisherBrac Universityen_US
dc.rightsBrac 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.
dc.subjectCloud Computingen_US
dc.subjectCognitive Radioen_US
dc.subjectEdge Computingen_US
dc.subjectFog Computingen_US
dc.subjectInternet of Thingen_US
dc.subjectReconfigurable Intelligent Surfaceen_US
dc.titlePerformance analysis of Fog and Cloud Nodes for Cognitive Internet of Thingsen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Electrical and Electronic Engineering, Brac University
dc.description.degreeB. Electrical and Electronic Engineering


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