The Influence of Choosing Sensor Locations Inside Closed Facilities on the Reliability, Adaptability, and Energy Efficiency of IoT Systems

This scientific research paper aims to provide insight into how strategic positioning of sensors can affect the reliability, scalability, and energy efficiency of IoT systems. Different algorithms, including those from artificial intelligence, are used to determine sensor location. The final, chosen approach to their placement also depends on whether they are used for an internal or external application. Throughout a combination of theoretical analysis, practical experiments, and measurements collected from five sensors in a small household, connection between IoT system performance and sensor locations implied. Data collection was performed using an ESP32 microcontroller connected to a Wi-Fi MESH network. Processing, analysis, and presentation of the results were performed using the MQTT protocol, the Influx database and Grafana as an open-source analytics and interactive visualization web application. The obtained results showed that the strategic positioning of sensors positively affects the reliability, scalability, and energy efficiency of the analyzed IoT system.