Abstract:
This work presents an optimization model for sending telemetry from IoT devices, using
the Twin Device tool present in Microsoft’s cloud server services platform, called Azure.
The optimization is done through a server, developed in Python, which interprets the
telemetry received, defines the current state of the device and updates the settings of
the device and emits it through Twin Device. The result in normal operating states was
a drastic decrease in the number of packets and consequently a smaller volume of data
trafficked on the network, already in a critical state, the amount of packets increased and
consequently a considerably greater volume trafficked through the network.