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

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.

Energy efficient IoT‐based informative analysis for edge computing environment

“…21 Conspicuously, it is the need-of-the-hour to minimize energy usage, extend resource lifetimes, and ensure the proper operation of IoT devices. 4…”

“…Re-provisioning the allocated computing components from the edge-node when respective sensors are inactive. 4. Comparing the performance of the presented framework with the state-of-the-art prediction techniques in the current domain of study.…”

“…Internet of Things (IoT) technology has arisen as a building aspect of seamless perception and computation in edge computing environment 1,2 . IoT technology is an intellectual paradigm that connects objects to the internet directly or indirectly 3,4 . Sensors, actuators, hardware, software, and storage are all included in the objects and are incorporated in a wide domain of applicability including medical care, education, transportation industry, and agriculture 5,6 .…”

“…The loss of power has an impact on the entire environment being observed 21 . Conspicuously, it is the need‐of‐the‐hour to minimize energy usage, extend resource lifetimes, and ensure the proper operation of IoT devices 4 …”

“…1,2 IoT technology is an intellectual paradigm that connects objects to the internet directly or indirectly. 3,4 Sensors, actuators, hardware, software, and storage are all included in the objects and are incorporated in a wide domain of applicability including medical care, education, transportation industry, and agriculture. 5,6 The basic goal of the IoT is to increase the connection between hardware items and the edge computing environment, along with data transformation in meaningful information without human intervention.…”