Reducing Energy Consumption in NB-IoT by Compressing Data and Aggregating Transmission

The rapid expansion of Internet of Things (IoT) applications necessitates the utilization of efficient Low Power Wide Area Network (LPWAN) technologies. Among these technologies, Narrowband IoT (NB-IoT) has emerged as a highly promising solution due to its energy efficiency, long-range communications, and anticipated scalability. In this study, we conducted simulations to examine the impact of various factors on energy usage in NB-IoT devices. Taking into consideration the significance of energy efficiency in IoT devices, particularly in hard-to-reach locations, we study the effects of data compression on energy consumption. The obtained results revealed that implementing data compression techniques can significantly reduce energy consumption, specifically in areas with limited transmission coverage. Additionally, we study the benefits of expanding data transmission intervals to conserve energy. The findings of this paper emphasize the importance of adopting energy-efficient practices in the development of IoT technology.