Methods and systems for managing health of devices in an IoT environment using inter-device correlation

A method for managing health of devices in an Internet of Things (IoT) environment, the method comprising:

• monitoring over time, by an electronic device, a plurality of operational modes of at least one IoT device for health management;
• monitoring, by the electronic device, changes in an ambience as a result of each operational mode of the at least one IoT device, using one or more ambient sensors located within premises of the IoT environment;
• generating, by the electronic device, a correlation event database including a correlation of each operational mode of the at least one IoT device against the changes in the ambience, wherein the correlation indicates a threshold of readings of the one or more ambient sensors for each operational mode of the at least one IoT device;
• comparing, by the electronic device, current readings of the one or more ambient sensors with the correlation present in the correlation event database;
• detecting, by the electronic device, a health anomaly in the at least one IoT device, in response to a result of the comparison indicating a deviation beyond the threshold of readings;
• analyzing, by the electronic device, the detected health anomaly in relation to a device health knowledge database to estimate at least one root cause for the detected health anomaly;
• and
• providing, by the electronic device, a recommendation of the at least one root cause for managing the at least one IoT device.

An electronic device in an Internet of Things (IoT) environment comprising:

• a memory;
• and
• a processor coupled to the memory and configured to:
• detect an occurrence of at least one event on at least one device of a plurality of devices,
• determine a change in an ambience of the at least one device corresponding to the occurrence of the at least one event on the at least one device,
• detect at least one anomaly in the at least one device, if the determined change in the ambience of the at least one device does not satisfy threshold criteria determined for the detected at least one event, and
• determine at least one root cause for the detected at least one anomaly in the at least one device.