When implementing large-scale IoT trajectories, the many factors in the context can create a problem with scaling. If there is no control over the costs for the data transfer or unreliable data in the initial stage, this can lead to high unforeseen costs. In addition, there are different ways to collect data from ‘devices’ and push updates to the same ‘devices’. Each method presents different challenges and a different cost structure.
With thousands of ‘devices’ and millions of messages, the costs per ‘device’ or per unit of data can add up. Only allowing data transfer to take place when it is really necessary should be the starting point. One solution is to process data at the edge of the network and only send the data when necessary. Another approach is to opt for a message standard that builds up and sends small data units at all times.