Flexible, Robust, Scalable Solution to Extract Information from IoT Public Network Sensors

Interpretation of payloads sent by sensors is a fundamental process in the management of Internet of things (IoT) networks because it allows the extraction of the real information content, i.e.The measured values monitored by the sensors. Since there is no de facto standard in the protocols used by sensors to send their measures, the payload decoding rules depend on the type of sensors, the brand and the model. In the case of a IoT public network, such as the retePAIoT of the Emilia-Romagna region [1], which potentially can collect data from thousands of different sensors deployed throughout all the regional environment, this aspect presents a significant complexity, also due to the public nature of the service provided, intended to serve any user interested in installing sensors, without the need for any technical know-how, purposes or shared installation plans. This paper illustrates the architectural and functional model of a solution for the automatic extraction of values potentially coming from thousands of different sensors, in an unplannable context, which therefore requires a high level of flexibility, robustness and scalability.