There’s significant value in these applications, but an emphasis on very simple sensors is constraining and tends to limit people’s concept of what’s possible with the combination of the IoT components – sensors, data, computation, and algorithms.
In this era of big data, we also forget that data is derived from sensors and instruments – from wearable and non-contact physiological monitors, environmental sensors, from your interactions with your devices.
To understand how organizations can leverage the underlying principles of IoT for “bigger and badder” technology deployments, it’s important to first understand what these principles are. At their heart, IoT systems are characterized by the convergence of micro-sensing, computation, and communication. This convergence allows IoT systems to do the following:
- 💠Acquire (or “sense”) data from the environment
- 💠 Pre-process data locally
- 💠 Communicate data to servers
- 💠Combine data from multiple sensor types
- 💠Perform signal processing both locally and in the cloud
- 💠Draw inferences and provide insights about the world from the data, using computational techniques such as machine learning.
- 💠 Make decisions and control actions in the environment