This project describes system optimization for LoRa Node operation in LoRa Point-to-Point Network Communication. The current issue is that LoRa cannot reach more than 2 kilometers due to heavy interference when deployed in dense areas such as cities. Furthermore, most off-the-shelf LoRa Nodes are power-hungry and cannot last more than three days on battery power. This study aims to use two optimization methods and analyze the Node Operation after implementing those methods. The first approach is RTOS configuration which is the Deep Sleep for reducing the LoRa Sensor Node power consumption. The second approach is adding another LoRa Node as an intermediate Node to increase network transmission distance.

Aims and Objectives

To increase the LoRa Transmission Range, add another LoRa Node to act as the Intermediate Node.
Deep sleep is used to conserve and reduce LoRa Node power consumption.

Using Favoriot in the Project

Favoriot IoT Platform is being used to monitor the data sent and received from the LoRa nodes. The built-in dashboard made it easy for data visualization.


Congratulations to Aiman for winning two awards from Kolej Kemahiran Tinggi MARA Petaling Jaya.

  1. Most Inspiring Award 2022 – Move Mountain Program
  2. Best Final Year Project (2022)
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