Energy Optimization of Wireless Sensor Embedded Cloud Computing Data Monitoring System in 6G Environment

With the construction and development of modern and smart cities, people's lives are becoming more intelligent and diversified. Surveillance systems increasingly play an active role in target tracking, vehicle identification, traffic management, etc. In the 6G network environment, facing the massive and large-scale data information in the monitoring system, it is difficult for the ordinary processing platform to meet this computing demand. This paper provides a data governance solution based on a 6G environment. The shortcomings of critical technologies in wireless sensor networks are addressed through ZigBee energy optimization to address the shortage of energy supply and high energy consumption in the practical application of wireless sensor networks. At the same time, this improved routing algorithm is combined with embedded cloud computing to optimize the monitoring system and achieve efficient data processing. The ZigBee-optimized wireless sensor network consumes less energy in practice and also increases the service life of the network, as proven by research and experiments. This optimized data monitoring system ensures data security and reliability.

Automated summary

With the construction and development of modern and smart cities, surveillance systems are playing an increasingly important role in various aspects such as target tracking and traffic management. However, in the 6G network environment, the ordinary processing platform is unable to handle the massive amount of data efficiently. This paper proposes a data governance solution based on a 6G environment, addressing the shortcomings of wireless sensor networks through ZigBee energy optimization. By combining an improved routing algorithm with embedded cloud computing, the monitoring system is optimized to achieve efficient data processing, ensuring data security and reliability.