Review of Methods to Predict Connectivity of IoT Wireless Devices

摘要

Services related to Internet of Things (IoT) demand agile anticipation and response to eventual lack of service continuity. Machine learning methods may obtain predictions of IoT wireless sensors and devices connectivity patterns, enabling telcos to adjust maintenance periods, plan network upgrades, estimate outages risk and best allocate customer value to connection resources.