The present subject matter discloses a system and method for optimizing data communication of Internet of Things (IoT) devices. The system comprises a collection of IoT devices, an IoT server, a management console, third party IoT gateways and user devices. The IoT device is connected to a sensor or an actuator. The IoT device identifies attributes of the sensor or the actuator. Further, the IoT device receives raw data generated by the sensor or the actuator. Subsequently, the IoT device defines data types for the raw data based on the attributes and define bit stream storage for the data types. The IoT device may optimize data-transmission size of the data types and bit stream storage using a communication protocol and transmit the raw data to the IoT server. The IoT server may transcode the raw data into a desired format and relay transcoded data to a management console.

Disclosed embodiments relate to distributed, crowd-sourced Internet of Things (IoT) discovery using Block Chain. In one example, a method includes scanning a network and generating a signature based on IoT device traits discovered, determining whether the signature is already in a verified or an unverified Block Chain, when the signature exists in the verified Block Chain, providing a verified entry including at least the IoT device type, otherwise, when the signature exists in the unverified Block Chain, providing an unverified entry including at least the IoT device type, incrementing a count, and promoting the unverified entry to the verified Block Chain when the count reaches a threshold, and otherwise, when the signature is in neither Block Chain, using the traits to guess the IoT device type, generating a new entry including the IoT device type, a location, and a timestamp, and storing the new entry in the unverified Block Chain.

In an approach to improve recommendation generating through IoT devices, embodiments abstract specific messaging formats from various IoT devices, map, the abstracted messaging formats to a canonical model associated to device types using based on collected IoT device data, and determine a context of data received from the plurality of IoT devices based on the type of IoT device and historical trend analysis of canonical data points from similar device types. Further, embodiments derive an association between data points among the plurality of IoT devices in a solution, determine one or more contexts of the established data point associations in the solution, and recommend one or more charts, events, and associated data based on a derived context and a visualization map. Additionally, embodiments output, by a user interface, the recommended chart events and associated data.

In an approach to improve recommendation generating through IoT devices, embodiments abstract specific messaging formats from various IoT devices, map, the abstracted messaging formats to a canonical model associated to device types using based on collected IoT device data, and determine a context of data received from the plurality of IoT devices based on the type of IoT device and historical trend analysis of canonical data points from similar device types. Further, embodiments derive an association between data points among the plurality of IoT devices in a solution, determine one or more contexts of the established data point associations in the solution, and recommend one or more charts, events, and associated data based on a derived context and a visualization map. Additionally, embodiments output, by a user interface, the recommended chart events and associated data.

The present invention generally relates to systems and methods for detecting and/or isolating any causes of defective and/or partially defective IoT device or individual sensor device(s). In embodiments the present invention generally relates to fixing, replacing, and/or troubleshooting IoT devices and/or individual sensor device(s) that are defective and/or partially defective.

The present invention generally relates to systems and methods for detecting and/or isolating any causes of defective and/or partially defective IoT device or individual sensor device(s). In embodiments the present invention generally relates to fixing, replacing, and/or troubleshooting IoT devices and/or individual sensor device(s) that are defective and/or partially defective.

An Internet of Things (IoT) device includes a first memory disposed in a normal zone; a first driver disposed in the normal zone; and a second driver disposed in a secure zone. The first driver is configured to perform: (a) monitoring the first memory to generate data change information of the first memory, the data change information being information on changes of data in the first memory; (b) transmitting the data change information to the second driver; and (c) controlling an operating state of the IoT device based on an instruction for the operating state received from the second driver. The second driver is configured to perform: (d) transmitting the data change information to a specified IoT device management system; and (e) receiving the instruction for the operating state from the IoT device management system and transmitting the instruction for the operating state to the first driver.

An Internet of Things (IoT) device includes a first memory disposed in a normal zone; a first driver disposed in the normal zone; and a second driver disposed in a secure zone. The first driver is configured to perform: (a) monitoring the first memory to generate data change information of the first memory, the data change information being information on changes of data in the first memory; (b) transmitting the data change information to the second driver; and (c) controlling an operating state of the IoT device based on an instruction for the operating state received from the second driver. The second driver is configured to perform: (d) transmitting the data change information to a specified IoT device management system; and (e) receiving the instruction for the operating state from the IoT device management system and transmitting the instruction for the operating state to the first driver.

A processor may identify an action of a first device of the IoT devices. The processor may initiate a transfer from the first device to one or more other devices of the IoT devices. The processor may pause each thread being executed by the first device and the one or more other devices. The processor may transfer a unit from the first device to the one or more other devices.

A processor may identify an action of a first device of the IoT devices. The processor may initiate a transfer from the first device to one or more other devices of the IoT devices. The processor may pause each thread being executed by the first device and the one or more other devices. The processor may transfer a unit from the first device to the one or more other devices.