A Redundant Sensing Elimination Technique for Improving Energy Efficiency of IoT Sensor Networks

Abstract

Abstract Various sensor nodes used in IoT network systems composed of electronic devices perform various control tasks using the results measured by the sensors. At this point, if these sensing tasks are smartly assigned and performed, the energy consuming efficiency of the entire networked system can be improved. That is, since each sensor node constituting the IoT network system performs redundant sensing and control devices, it is possible to improve the network’s energy efficiency by appropriately assigning and removing such redundant sensing tasks. In particular, the indoor illuminance sensor is installed in various devices such as automatic light switch systems, smart phones, and tablets. It is desirable that only one sensor node among them participates in the actual sensing task. In a smart home, redundant sensors and controllers are used repeatedly in refrigerators, heaters, TVs, artificial intelligence speakers, ventilation facilities, and smartphones. These redundant sensing and control signal generation lowers energy consumption’s efficiency. This study proposes a technique that can properly eliminate unnecessary and redundant sensing tasks that occur when such on the flown IoT network system is built. As a result, it has been shown that the efficiency of energy consumption can be improved in the entire IoT sensor network system.