Research Article
Sports Event Data Acquisition Method Based on BP Neural Network and Wireless Sensor Technology
@INPROCEEDINGS{10.1007/978-3-031-28867-8_18, author={Yang Yang and Xueqiu Tang}, title={Sports Event Data Acquisition Method Based on BP Neural Network and Wireless Sensor Technology}, proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2023}, month={3}, keywords={BP neural network Wireless sensing technology Sports events Data acquisition Data fusion Routing protocol}, doi={10.1007/978-3-031-28867-8_18} }- Yang Yang
Xueqiu Tang
Year: 2023
Sports Event Data Acquisition Method Based on BP Neural Network and Wireless Sensor Technology
ADHIP PART 2
Springer
DOI: 10.1007/978-3-031-28867-8_18
Abstract
The current data acquisition methods use sensors and fixed equipment to collect data. When applied to sports events, a large number of sensor deployment will lead to large data transmission loss and low data acquisition efficiency. In order to reduce the data transmission loss and improve the efficiency of data acquisition, the sports event data acquisition method based on BP neural network and wireless sensor technology will be studied. After building the wireless sensor network for sports event data acquisition, BP neural network is used to fuse the sensor node data. Compressed sensing is used to initially locate the sensor nodes in the network, and the sensor node data is gathered according to the honeycomb principle to realize the event data collection. The test results show that after the application of the proposed data acquisition method, the average energy loss ratio of the node is only 6.61%, the data acquisition efficiency is greatly improved, and the test effect is good.
