The Industrial Environment through a Wireless Sensor Network

Wireless Sensor Network for Monitoring the Industrial Environment

Authors

  • Lokesh Varshney

Keywords:

Industrial Environment, Wireless Sensor Network, Robotization, Control Methodology, MSP430g2553, Texas instruments, MEMS Acoustic Sensor, Magnetic Transition Sensor, Simulation, Echo-State Networks, Root-Mean-Square Error, Data Collection, Data Transmission, Wavy Neural Network, Levenberg-Marquardt Algorithm, Mean Square Error

Abstract

The primary machine checked in robotization style is one of the rivalries at mechanical applications. A remote sensor organization (WSN) used to screen the modern conditions, all the control methodology have acted with the assistance of installed MSP430g2553 from Texas instruments. These plans can be examine, gathered and introduced information of the MEMS acoustic sensor with attractive transition sensor. The reproduction modernized in MATLABSimulink. The recreation inspected used Echo-State Networks and Root-Mean-Square blunder esteem. The objective of gathered and sent information critical has capacity of a sensor organization. For instance, it is moreover basic to concede the shortcoming sign to the gathered information. To screen the mechanical climate through a remote sensor organization (WSNs), part wavy neural organization based Levenberg-Marquardt (LM) Algorithm for recognizing the shortcoming utilized the inclination worth and mean square mistake with signal. The information have gathered and introduced by the attractive transition sensor and MEMS acoustic sensor. The reproduction created through MATLAB and Simulink.

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Published

2018-11-01

How to Cite

[1]
“The Industrial Environment through a Wireless Sensor Network: Wireless Sensor Network for Monitoring the Industrial Environment”, JASRAE, vol. 15, no. 11, pp. 911–917, Nov. 2018, Accessed: Jul. 08, 2024. [Online]. Available: https://ignited.in/jasrae/article/view/9175

How to Cite

[1]
“The Industrial Environment through a Wireless Sensor Network: Wireless Sensor Network for Monitoring the Industrial Environment”, JASRAE, vol. 15, no. 11, pp. 911–917, Nov. 2018, Accessed: Jul. 08, 2024. [Online]. Available: https://ignited.in/jasrae/article/view/9175