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dc.contributor.advisorMostakim, Moin
dc.contributor.advisorTarin, Suraiya
dc.contributor.authorRoy, Anu Pria
dc.date.accessioned2017-05-29T09:01:01Z
dc.date.available2017-05-29T09:01:01Z
dc.date.copyright2017
dc.date.issued2017-04-19
dc.identifier.otherID 13201062
dc.identifier.urihttp://hdl.handle.net/10361/8201
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.en_US
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 22-23).
dc.description.abstractPeers can share internet by creating hotspot networks. The main driver device needs to decide when and which device it needs to connect and gives more internet to perform the operation. By the help of the Q-learning we will try to make a candidate set of best peers so that it can minimize the internet sharing. Q-learning method not only learns from the network parameters as processing capacity, number of resources in the peers but also learns from their state of congestion. According to the proposed method , the data stored in the P2P network is spread across a large number of nodes as the distribution of data can be random and the desired resources are located more quickly without being forwarded and at the same time the network traffic will be minimized.en_US
dc.description.statementofresponsibilityAnu Pria Roy
dc.format.extent23 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis 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.subjectQ- learningen_US
dc.subjectHotspot networken_US
dc.titleResearch on best peer finding using Q-learning using hotspot networken_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering


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