CREATING SETS OF HETEROGENEOUS INTERNET-OF-THINGS (IoT) DEVICES FROM WHICH TO UPLOAD DATA AS A PRE-STEP TO EDGE COMPUTING

A computer system, the computer system comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:
• identifying one or more Internet-of-Things (IoT) devices within a structure;
• combining the identified one or more IoT devices into one or more groups based on a proximity of their respective installation locations within the structure;
• identifying a respective primary device within each group of the one or more groups;
• deploying a tiny machine learning (ML) model on each identified respective primary device;
• and
• in response to detection of an event within the structure by a group of the one or more groups, utilizing the tiny ML model of a primary device of the group to select one or more other groups for activation.

A computer program product, the computer program product comprising:

• one or more computer-readable tangible storage medium and program instructions stored on at least one of the one or more tangible storage medium, the program instructions executable by a processor capable of performing a method, the method comprising:
• identifying one or more Internet-of-Things (IoT) devices within a structure;
• combining the identified one or more IoT devices into one or more groups based on a proximity of their respective installation locations within the structure;
• identifying a respective primary device within each group of the one or more groups;
• deploying a tiny machine learning (ML) model on each identified respective primary device;
• and
• in response to detection of an event within the structure by a group of the one or more groups, utilizing the tiny ML model of a primary device of the group to select one or more other groups for activation.