Utilising Correlated Information to Improve the Sustainability of Internet of Things Devices

Billions of low-power devices collecting information will be deployed in Internet of Things (IoT) networks. By taking advantage of the correlation exhibited in information collected, it is possible to improve sensors' energy efficiency. In this paper, we propose an updating mechanism capable of learning from the content of information collected to reduce the frequency with which devices transmit their updates, thus improving their energy efficiency. We show the potential gain of using correlated information and evaluate the proposed updating mechanism using data obtained from real sensing devices to determine the increase in energy efficiency.