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dc.contributor.advisorChakrabarty, Amitabha
dc.contributor.authorMustaquim, S.M. Siratim
dc.contributor.authorHasan, Rafiul
dc.contributor.authorBiswas, Avijeet
dc.date.accessioned2017-05-08T07:22:34Z
dc.date.available2017-05-08T07:22:34Z
dc.date.copyright2017
dc.date.issued4/18/2017
dc.identifier.otherID 13101084
dc.identifier.otherID 13101160
dc.identifier.otherID 13101100
dc.identifier.urihttp://hdl.handle.net/10361/8105
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 30-34).
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.description.abstractTraditional outdoor positioning systems such as GPS, fails to locate indoor places and thus Indoor Positioning Systems (IPS) have a lot of importance. These systems are integral in providing Location Based Services (LBS) which can ease the daily life with useful information about one’s current surroundings. Local network infrastructure such as Wi-Fi which is already available in places such as hospitals, shopping malls and educational institutions, can be used to locate a place in the indoor environment using the properties of the Wi-Fi signal. Hence we propose a model for indoor positioning system which implements a trilateration method using the amount of signal loss of at least three Access Points (AP) to find the position of a target. Also, we use techniques to stabilize the signal collection and compare the data with historical data to provide considerably accurate positional information. This system consists of very few components and the deployment criteria are comparatively simpler, so it can be easily deployed. Also, the use of low cost equipment such as Wi-Fi routers makes sure that the system is economically feasible.en_US
dc.description.statementofresponsibilityS.M. Siratim Mustaquim
dc.description.statementofresponsibilityRafiul Hasan
dc.description.statementofresponsibilityAvijeet Biswas
dc.format.extent34 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.subjectWi-Fi networken_US
dc.titleAn indoor positioning system model using Wi-Fi 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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