Abstract

Fitness and bodybuilding has been developed in China for decades and is deeply loved by the masses. Under the background of the national fitness program and the general environment of the sports industry, China's fitness and bodybuilding has developed in the long-term in terms of scope and breadth, but the path model is single, and it is difficult to adapt to the development of the times. With the widespread popularity of 5G+IOT, wireless network sensor motion monitoring devices have been widely used in various fields of life, and the effect is very significant. This research focuses on the congestion control, energy efficiency optimization and node positioning of wireless sensor networks. Taking the physical distance between nodes as the starting point, the ID3 algorithm and the C4.5 algorithm are proposed in a targeted manner, and verified through theoretical analysis and software simulation effectiveness of the proposed algorithm.

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