Data Reduction Techniques in Wireless Sensor Networks With Internet of Things

Abstract

Since they are used in an array of real-life uses, wireless sensor equipment in Internet of Things (IoT) systems will be among the biggest prolific sources of big data on the connection. The huge quantity of data collected from sensing equipment increases transmission overhead, reducing the short lifespan of IoT sensing equipment. As a result, it is required to cleanse and reduce the sensed information in order to cut transmission costs and conserve power on sensing equipment. A Data Reduction and Cleansing Technique (DRCT) for power consumption in IoT-based wireless sensor networks (WSNs) is suggested in this research. This method depends on 2 levels of data cleansing and reduction: sensing and aggregation.