Bluetooth low energy (BLE) based asset tagging system (BLE RSSI finger printing focus)

• Main Author: Li, Jefferson Zheng Jun
• Other Authors: Oh Hong Lye
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2023
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: https://hdl.handle.net/10356/166068
• Institution: Nanyang Technological University

Asset tracking is an important technology as it allows businesses to track and manage valuable assets. A key aim of this paper is to explore the efficacy of Bluetooth Low Energy (BLE) based asset tracking in an indoor environment. This paper will examine how to convert the received signal strength i...