LAUSR

Recently, one of the most common needs of people are to be connected to the Internet anytime, anywhere, anyhow. The Internet of Things is a materialized paradigm in which everyday objects are implemented with Internet connectivity, enabling them to collect and interchange information. As energy is expected to be more expensive, the energy supply is often not available for IoT devices, the low power wide area networks attempt to be the solution to this problem. LoRaWAN provides radio coverage over long distances by enhancing the reach of the base stations via adapting transmission rates, transmission power, modulation, duty cycles, etc. This paper aims to decrease the power consumption using machine learning and deep neural network by applying support vector regression and deep neural network algorithms, which can support to extend the battery lifetime.