Internet of Things Sensor Node Information Scheduling Model and Energy Saving Strategy

Abstract

According to energy constraint problem of wireless sensor node in the Internet of Things (IoT) perception layer, this paper proposed sensor information scheduling model based on mixed logical dynamic (MLD) model and energy saving strategy. First, the amount of transmission data control and the energy consumption of wireless communication control were modeled by MLD mode. Secondly, under MLD model, the sensor node communication scheduler was designed, and reliable scheduling strategy and rules were established for sensor node in different scene, which can adopt different strategy according to the change of scene. Finally, the simulation results show that the sensor node information scheduling model and energy saving strategy can reduce the sensor node data traffic and save more than 50% energy consumption, and the overall data error is 0.018. So it can save the energy consumption of sensor node and guarantee data precision.