To normalize data from multiple protocols at the edge and connect them to cloud for processing

To connect sensor data to the cloud for batch processing

To minimize the use of sensors in the edge

To balance the data and compute flow between edge and cloud

To reduce the use of IoT gateways in the edge

To eliminate the need for real-time analytics in cloud

Selecting the right type of sensors

Implementing edge devices for pre-processing

Tuning the parameters of the simulation model

Integration of big data analytics

Support for massive machine type communications

Ultra-low latency for critical applications

Higher spectral efficiency for data transmission

High throughput with low reliability

To enable mutual interworking of different eco-systems using web technology.

To provide a common framework for secure device discovery.

To represent virtual devices using program interfaces.

To ensure compatibility with existing IoT solutions.

To enable pre-processing of sensor data before transmission

To securely place the simulation model in a virtual environment

To synchronize data between physical and virtual spaces

To optimize the digital twin model for lower computing requirements

A mashup of IoT APIs.

A physical device with network capabilities.

An IoT gateway.

A software representation of a Thing using Web standards.