DYNAMIC AND SELF ADAPTING
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IOT devices and systems may have the capability to dynamically adapt with the changing contexts and take actions based on their operating conditions, users context or sensed environment. For example, consider a surveillance system comprising of a number of surveillance cameras. The surveillance cameras can adapt their modes based on whether it is day or night. Cameras could switch from lower resolution to higher resolution modes when any motion is detected and alert nearby cameras to do the same in this example, the surveillance system is adapting itself based on the context and changing condition
SELF CONFIGURING
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Iot devices may have self configuring capability, allowing a large number of devices to work together to provide certain functionality. These devices have the ability configure themselves, setup the networking, and fetch latest software upgrades with minimal manual or user intervention.
INTEROPERABLE COMMUNICATION PROTOCOLS
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Iot devices may support number of interoperable communication protocols and can communicate with other devices and also with the infrastructure.
UNIQUE IDENTITY
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Each iot device has a unique identity and a unique identifier.iot systems may have intelligent interfaces which adapt based on the context, allow communicating with users and the environmental contexts.iot devices interfaces allow users to query the devices, monitor their status, and control them remotely, in association with the control, configuration and management infrastructure.
INTEGRATED INTO INFORMATION NETWORK
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IOT devices are usually integrated into the information network that allows them to communicate and exchange data with other devices and systems.iot devices can be dynamically discovered in the network, by other devices and/or the network, and have the capability to describe themselves to other devices or user applications. For example, a weather monitoring node can describe its monitoring capabilities to another connected node so that they can communicate and exchange data. Integration into the information network helps in making iot system “smarter” due to collective intelligence of the individual devices in collaboration with the infrastructure. thus, the data from a large number of connected weather monitoring iot nodes can be aggregated and analyzed to predict the weather.
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