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

Abstract

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.

Energy aware optimal routing model for wireless multimedia sensor networks using modified Voronoi assisted prioritized double deep Q‐learning

“…2. Two Voronoi vertices share the common edge and are represented as Q (2) , and it satisfies the condition Q (2) ≠ 0.…”

“…Wireless Multimedia Sensor Networks (WMSNs) have appeared as a new category of Wireless Sensor Networks (WSNs) 1 that consist of sensor nodes equipped with microphones, cameras, and various sensors to make multimedia elements. 2 WMSNs fulfill the Quality of Service (QoS) in numerous applications, including area monitoring and video surveillance. 3 The routing protocols for WMSN should be designed by considering the networks' QoS, especially the reliability and real-time in different regions.…”