The invention discloses a big data autonomous sensing anti-collision control method based on service quality perception, which includes starting from symbol transmission rate, traffic volume, packet length, channel quality, and topology area, autonomously sensing the state of the big data network, and actively adjusting the terminal work State and its access point height, sense the change of big data network service quality, find the big data network architecture with the best resource utilization and data quality, and independently reduce the collision rate, thus providing diversified and dynamically changing big data quality assurance . This method fully considers the real-time status of the big data network, the quality of big data, multiple access and autonomous anti-collision, etc., and optimizes the status of the big data transmission network and the working status of the terminal based on the requirements of big data service quality assurance, and improves resource utilization. At the same time, improve the quality of big data and improve the quality of big data network services.