Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/157760
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dc.contributor.authorPoh, Jun Rongen_US
dc.date.accessioned2022-05-23T04:17:21Z-
dc.date.available2022-05-23T04:17:21Z-
dc.date.issued2022-
dc.identifier.citationPoh, J. R. (2022). Bluetooth low energy (BLE) based asset tagging system. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157760en_US
dc.identifier.urihttps://hdl.handle.net/10356/157760-
dc.description.abstractAsset Tracking is a valuable technology that most businesses want to leverage on, especially the well developed GPS-based outdoor asset tracking system. However, indoor localization is still not well developed as GPS is not accurate in indoor environment. One good option is to utilize BLE technology for indoor localization. However, by using the RSSI value itself is not accurate. Therefore, this project will develop an asset tracking system to collect RSSI fingerprinting data and increase localization accuracy by using various machine learning algorithms. The experimental results show a significant improvement over a previous BLE indoor localization study, but there is still opportunity for improvement, such as adopting different machine learning techniques as a comparison.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationSCSE21-0145en_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleBluetooth low energy (BLE) based asset tagging systemen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorOh Hong Lyeen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Engineering)en_US
dc.contributor.supervisoremailhloh@ntu.edu.sgen_US
item.grantfulltextrestricted-
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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