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This article presents a new metric to assess the performance of different multivariate data reduction models in wireless sensor networks. The proposed metric is called updating frequency metric that is defined as the frequency of updating the model reference parameters during data collection. A method for estimating the error threshold value during the training phase is also suggested. The proposed...
The validity of sensed data that labels the change events plays the most important role in the accuracy and reliability of the Internet of Things (IoT)-based Wireless sensor network (WSN) applications to assure data quality for perfect decision making. In this study, we suggested and implemented a sensor data validation approach based on adaptive threshold for real-time IOT/WSN sensor node level....
Data collection issues play a significant role in the area of Wireless Sensor Networks (WSNs) and Internet of Things (IOT). Energy efficiency is affected by the number of data transmissions from the node to the Sink / base station (BS). Control of the update data is one of the feasible ways to reduce the messages sent by the nodes. In transmitting data strategies most of the WSN real-time data applications...
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