Igor Medenica^1,3, Milos Jovanovic^1,2, Jelena Vasiljevic¹, Dragan Lazic² and Dhinaharan Nagamalai⁴, ¹University Union, Serbia, ²Ministry of Defense Republic of Serbia, Serbia , ³Electric Power Distribution of Serbia, Serbia, ⁴Wireilla, Australia

Ensuring proper sensor functionality requires periodic calibration in an accredited laboratory, which traditionally involves temporarily removing the sensor from operation. To improve this process and avoid disrupting sensor activity, we propose using mesh networks with ZigBee technology. In this setup, sensors are represented as nodes within the network, enabling continuous wireless communication with a central node (gateway) responsible for data storage and processing. The central node monitors state changes and communicates with all network nodes, assessing deviations from reference sensor values based on data collected from other nodes. This real-time monitoring allows for dynamic adjustment of calibration parameters without interrupting sensor operation. Nodes are categorized into reference and regular types, with their definitions stored in a dynamic state table. This classification facilitates efficient communication and parameter retrieval. Advanced algorithms can then adjust calibration settings based on real-time data, improving the accuracy and reliability of the wireless sensor network (WSN). This method ensures continuous precision and robustness in sensor performance, adapting calibration dynamically to maintain network reliability.

Dynamic State Management, Sensor Calibration, ZigBee Technology, Wireless Sensor Networks (WSN), Real-Time Data Processing.