Optimize the frequency of messages for your use case

To optimize the performance of a device, it is essential to adjust the input sampling time and make sure that it is sending messages and checking for updates at an optimal rate. The optimal rate should be determined by the use case and not necessarily by the rate at which inputs or sensor values change. Alternatively, an update on change (Change of Value) approach can be used, in which case an interpolation technique should be selected, and the device must be configured with a parameter that determines what a change is.  Interpolation helps fill in the gaps in the time series data to provide a more complete and continuous representation of the data. By restricting the application related data that is transmitted to only what is required by the application, there are also benefits in terms of reduced data storage as well as the amount of processing required in the cloud, which contribute to a reduced carbon footprint.