Aiming at the problems of traditional sports service network node layout optimization methods, which have low node coverage, node moving distance, and long distance, a sports service network node layout optimization method based on network communication is proposed. The approximate algorithm is used to calculate the probability that the wireless communication network covers the sports service network node. According to the energy consumption generated by the sports service network node in the communication process and the energy generated by the node transmission data, the energy consumption model is constructed to obtain all the communication nodes of the sports service network. Taking the maximum coverage of the rectangular area of the sports service network communication node and the minimum energy consumption of the node as the optimization goal, the accelerated genetic algorithm is used to construct the objective function to optimize the layout of the sports service network node. The simulation experiment results show that the sports service network node coverage of the proposed method has a wide coverage and a shorter node moving distance, which can effectively extend the life of the sports service network.

In order to study the sports injuries that often occur in athletes’ training and competition and solve the problems of low monitoring accuracy of injury mode data and large difference of resistance signal waveforms in the traditional monitoring system, this paper proposes the application of wireless sensor network in monitoring process. The accuracy of data monitoring with 9 different degree injury modes set by 1–9 squares in the traditional system is lower, while the accuracy of sports injury rehabilitation monitoring based on wireless sensor network is higher, which can be maintained above 90%. The experimental results show that the monitoring system has high monitoring accuracy of damage mode data and small difference of resistance signal waveform. It is basically consistent with the actual waveform.