Investigators from Institute of Theoretical & Applied Informatics Zero in on Artificial Neural Networks (Dynamic Automatic Forecaster Selection Via Artificial Neural Network Based Emulation To Enable Massive Access for the Internet of Things)

摘要

By a News Reporter-Staff News Editor at Network Daily News - Research findings on Artificial Neural Networks are discussed in a new report. According to news originating from Gliwice, Poland, by NewsRx correspondents, research stated, “The Massive Access Problem of the Internet of Things (IoT) occurs at the uplink Medium Access Control (MAC) layer when a massive number of IoT devices seek to transfer their data to an IoT gateway. Although recently proposed predictive access solutions that schedule the uplink traffic based on forecasts of IoT device traffic achieve high network performance, these solutions depend heavily on the performance of forecasters.”