Temperature, Humidity, and Light Intensity Monitoring System using Internet of Things on Mesh Network

Abstract

This research discusses the use of the Internet of Things in monitoring the humidity, temperature, and light intensity conditions in a room that is connected in a mesh network. The objective of this research is to build a system that can monitor room conditions based on microcontrollers and interconnected in a mesh network. The data is then displayed on a dashboard and categorized as either a comfortable or uncomfortable room based on existing standards. To ensure the accuracy of the system's values, it is compared with commercial tools, and accuracy and precision are calculated. System’s standard deviation for temperature is 0.12-0.19% while its RMSE is 0,16-0,48%, and for humidity the RMSE is 0,54-1,77%, with the standard deviation of 0.33-0.69%. For light intensity with the outlier is removed the RMSE is 1.1% - 4.90% and standard deviation 0.79-2.76%. All this value is still comparable to the commercial tools’ accuracy on specification sheets. For packets loss the system is run continuously for 9 days and at the end the total data sent, and data receive at the server is calculated to count the differences. The packets loss after 9 day and 777.600 data is 0.00103%-0.00193%. from all 6 sensors used in the system.