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dc.contributor.supervisor Eskicioglu, Rasit (Computer Science) en_US
dc.contributor.author Zhou, Bin
dc.date.accessioned 2016-01-14T16:09:27Z
dc.date.available 2016-01-14T16:09:27Z
dc.date.issued 2015
dc.identifier.uri http://hdl.handle.net/1993/31065
dc.description.abstract Although the Global Position System (GPS) can help to navigate around the world, it cannot provide useful information in an indoor environment. I developed an indoor localization system using wireless sensor networks (WSNs). This system has two goals: (1) to make a system that runs for long duration without changing or charging batteries, and (2) to obtain more accurate position estimates of the target nodes using received signal strength indicator (RSSI) values than other localization systems using different localization algorithms. I chose ANT radio due to its lower power consumption. I applied a fingerprinting-based algorithm and used the parameters of the closest point to the estimated target node to calculate the final position of a target node. A local weighted k-Nearest Neighbour algorithm was proposed to estimate the position of a mobile node. I compared my system to other indoor localization systems to assess its performance. en_US
dc.rights info:eu-repo/semantics/openAccess
dc.subject WSN, Localization, ANT en_US
dc.title An indoor localization system based on wireless sensor networks en_US
dc.type info:eu-repo/semantics/masterThesis
dc.degree.discipline Computer Science en_US
dc.contributor.examiningcommittee Graham, Peter (Computer Science) Friesen, Marcia (Electrical and Computer Engineering) en_US
dc.degree.level Master of Science (M.Sc.) en_US
dc.description.note February 2016 en_US


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