Hands-On Deep Learning for IoT

Deployment techniques

As we argued earlier, each Wi-Fi scan contains the signal strength measurements for APs available in its vicinity, but only a subset of the total number of networks in the environment are observed. Many IoT devices, such as a mobile phone or a Raspberry Pi, are low-end with very little processing power. So, deploying such a DL model would be a challenging task.

Many solution providers and technology companies provide smart positioning services commercially. Using Wi-Fi fingerprinting from indoor and outdoor location data, the accurate tracking of devices is now possible. In most of these companies, the RSSI fingerprint positioning is used as the core technology. In such a setting, signals or messages that bear different ...