Different organizations and industries describe IoT differently. One way of defining it simply and tangibly is as a network of smart objects, which connects the physical and digital world together. Examining the E2E life cycle of the IoT solution or, more generally, of the IoT ecosystem, will help us to understand it further and show us how it is applicable to machine learning and DL.
Similar to the definition of IoT, there is no single consensus on the E2E life cycle or the IoT architecture that is agreed universally. Different architectures or layers have been proposed by different researchers. The most commonly proposed options are the three and five-layer life cycles or architectures, as shown in the following diagram:
In the preceding diagram, (a) presents a three-layer IoT life cycle or architecture, and (b) presents a five-layer IoT...
