HEALTHCARE MONITORING SYSTEMS USING LORAWAN TECHNOLOGY

In this era of globalization, the Internet requires a network solution that can support these criteria of Things (IoT) vision, which calls for a rising number of interconnected sensor nodes. Additionally, crucial components of IoT include other difficulties, including latency, range coverage, and bandwidth. As a result, it considers the enormous volume of expected nodes connected to the Internet. The LoRaWAN (Low Power WAN Protocol for Internet of Things), a data-link layer with long-range, low power, and low bit rate emerged as a possible option for IoT in which end-devices use LoRa to interact with gateways over a single hop, is a promising alternative. This paper will focus on developing a healthcare monitoring system using LoRaWAN technologies that are able to measure heart rate and oxygen level with a broader range in real-time data transmission. This thesis will focus on the distance between Hotspot and LoRaWAN, where a comparison is made between both technologies. The outcome of this thesis is that LoRaWAN can detect heart rate (BPM) and oxygen saturation (SpO2) more comprehensive, 2.36km, compared to Hotspots, 15m from CAE Lab 1. The main issue during this project is that the current device is incompatible with The Things Network (TTN) and takes a lot of time to connect to the LoRa gateway. Furthermore, weather and buildings also affected the range of both technologies