To minimize the use of sensors in the edge

To eliminate the need for real-time analytics in cloud

To connect sensor data to the cloud for batch processing

To reduce the use of IoT gateways in the edge

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

To balance the data and compute flow between edge and cloud

Selecting the right type of sensors

Implementing edge devices for pre-processing

Integration of big data analytics

Tuning the parameters of the simulation model

Support for massive machine type communications

High throughput with low reliability

Ultra-low latency for critical applications

Higher spectral efficiency for data transmission

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

To ensure compatibility with existing IoT solutions.

To provide a common framework for secure device discovery.

To represent virtual devices using program interfaces.

To optimize the digital twin model for lower computing requirements

To synchronize data between physical and virtual spaces

To securely place the simulation model in a virtual environment

To enable pre-processing of sensor data before transmission

A physical device with network capabilities.

An IoT gateway.

A software representation of a Thing using Web standards.

A mashup of IoT APIs.