An Energy-Efficient Transmission Framework for IoT Monitoring Systems in Precision Agriculture

Internet of Thing (IoT) technology has enabled efficient crop monitoring to support decision making in precision agriculture. The monitoring system collects environmental data in fields. A major challenge in the monitoring system is limited energy power of IoT sensor nodes. Consequently, we propose an energy-efficient transmission framework for IoT sensors in the monitoring system. Our proposed framework allows the sensor nodes adaptively collecting the data upon the environmental change. Furthermore, we propose an energy-efficient transmission algorithm for the proposed framework. The objective is to minimize the energy power at the sensor nodes while guaranteeing the transmission rate. A data-driven algorithm based on a greedy method is used to solve the problem with low complexity. We compare the performance of our algorithm with two traditional transmission protocols, called SPIN and ESPIN, through an experiment. From the results, our algorithm can provide better energy efficiency about 81.53% than SPIN and 36.84% than ESPIN.