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Objectives: The most common asset tracking systems used are RFID, Wi-Fi, Cellular, WSN, Robots, GPS etc. While using such techniques, the energy consumption will be increased; proximity range cannot be met and are costly. Statistical Analysis: So the developers started to build up a less complex, compact and energy efficient object tracker with the use of Bluetooth Low Energy. Findings: This paper aims at developing a Key Tag that identifies the location of the minute objects within the specified proximity area. The main components are: I) Bluetooth Low Energy, II) Smartphone. The key functions are performed by Bluetooth Low Energy (BLE) module and smart phone application. The important feature of this key tag is its low power consumption through the usage of Bluetooth Low energy that has the key feature of sleep mode for most of the time and only wakes up when the connection is initiated. Improvements: Low power consumption is achieved by limiting the actual connection times to a very few ms the results achieved through BLE analysis is presented and discussed here.

Keywords

ARM Cortex M0, Bluetooth Low Energy, GATT, Key Tag, Proximity
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