The purposes are to study how the multi-sensor Internet of Things (IoT) data fusion algorithm
calculates in data fusion systems and improves the systems' fusion efficiency. An improved …

Nowadays, the pace of society is accelerating, people's living standard has been greatly
improved compared with the past, and we pay more and more attention to the real-time …

Abstract IoT (Internet of Things) is a paradigm that connects multiple and diverse smart
objects via internet, it is currently widely used in a number of real-life fields. Smart …

Use of big data, large observations and elements is a major issue in modern world, which
creates difficulties in effective decision-making process. Multi-sensor data fusion technology …

Multi-heterogeneous sensor information fusion under traditional technology conditions was
slow, inaccurate, incomplete, and inconsistent, which led to errors in data analysis and affect …

Efficient data collection and communication are key tasks in smart IoT environment
consisting of a large number of devices. Here imprecise data are generated due to the …

In this paper, multiple sensors are used to track human physiological parameters during
physical exercise, and data information fusion technology is used to extract useful …

Classical data fusion methods can be roughly divided into two categories: one is based on
random methods, such as weighted average, least squares, Kalman filtering, Bayesian …

In order to improve the visual level of physical training and promote the optimization of
sports training, the computer multimedia technology and Internet of things (IoT) are used to …

This work proposes an improved particle swarm optimization (PSO) method to increase the
measurement precision of multi-sensors data fusion in the Internet of Things (IOT) system …