Abstract
The industrial internet of things (IIoT) known as industry 4.0, is the use of internet of things technologies, via the Wireless Sensor Network (WSN), to enhance manufacturing and industrial processes. It incorporates machine learning and big data technologies, to allow machine-to-machine communication that have existed for years in the industrial world. Therefore, it is necessary to propose a robust and functional communication architecture that is based on WSNs, inside factories, in order to show the great interest in the connectivity of things in the industrial environment. In such environment, propagation differs from other conventional indoor mediums, in its large dimensions, and the nature of objects and obstacles inside. Thus, the industrial medium is modeled as a fading channel affected by an impulsive and Gaussian noise. The objective of this paper is to improve robustness and performances of multi-user WSN architecture, based on Discrete Wavelet Transform, under an industrial environment using conventional channel coding and an optimal thresholding receiver.
Highlights
Technological developments in wireless communication systems in recent decades have led to the emergence of growing user needs in terms of accessibility, data volume and energy consumption.These technologies are constantly evolving owing in particular to the integration of new techniques to improve user connectivity and connect billions of objects together
The main challenge associated with sensor networks deployed in industrial environments is the harshness of this environment, which requires the adaptation of their physical layer
The proposed communication architecture is based on wavelet packet transformation for industrial wireless sensor networks
Summary
Technological developments in wireless communication systems in recent decades have led to the emergence of growing user needs in terms of accessibility, data volume and energy consumption These technologies are constantly evolving owing in particular to the integration of new techniques to improve user connectivity and connect billions of objects together. Given the great interest in object connectivity in the industrial environment, it is necessary to propose a communication architecture, based on robust and functional wireless sensor networks, inside factories. These networks are characterized by their autonomy, low energy consumption, and ability to exchange and process multiple data from different sources, in real time. A general conclusion, as well as perspectives for future works, is presented
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