Design of Underground Mining Wireless Communication Resource Algorithm based on Chaotic Neural Network

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Authors

  • Zhao Liang
     Department of Basic, Jilin Justice Officer Academy, Jilin, Changchun 130062 ,CN

Keywords:

Underground coal mine, mining wireless communication resource algorithm, chaotic neural network, OFDMA

Abstract

There are more and more applications of underground wireless communication in coal mines, such as coal mine video monitoring systems, coal mine dispatching systems, and coal mine safety data fusion systems. These coal mining systems require a large amount of data transmission, occupying a large amount of bandwidth, and the mine underground wireless communication resources are limited. It is necessary to allocate these resources reasonably to ensure the effective operation of these services. Coal mine underground radio resource allocation and optimization is the interface resources between the entire coal mine wireless communication system, such as communication bandwidth, signal spectrum and transmission time slot management, including channel multiplexing, packet scheduling, network optimization, load balancing and other related methods. The efficiency of the entire communication system is improved by maximizing the rational use of wireless network resources. In existing coal mine wireless communication resource optimization algorithms, there are adaptive feedback, wireless cooperative channel multiplexing technologies, etc. The existing wireless resource algorithms generally have high complexity, and there is still a certain space between the final calculation result and the optimal solution. This paper studies the existing coal mine underground optimization algorithm and optimizes and improves the existing chaotic neural network. It effectively reduces the complexity of the algorithm and makes the setting of parameters more consistent with the underground coal mine communication environment. At the same time, through a large number of tests, the parameter sets of chaotic neural network are provided, and a coal mine underground wireless resource optimization algorithm based on chaotic neural network is proposed, and the simulation results are given. The simulation results show that the algorithm proposed in this paper can effectively optimize the interface resources between the entire underground coal mine wireless communication system and improve the coal mine resource allocation rate.

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Published

2022-10-20

How to Cite

Liang, Z. (2022). Design of Underground Mining Wireless Communication Resource Algorithm based on Chaotic Neural Network. Journal of Mines, Metals and Fuels, 67(3), 111–115. Retrieved from https://informaticsjournals.com/index.php/jmmf/article/view/31500

Issue

Volume 67, Issue 3, March 2019

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

 

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