Fusion of Artificial Intelligence in Temperature Sensor Network Optimization

With the rapid development of Internet of Things (IoT) technology, temperature sensor networks have been widely used in various fields such as environmental monitoring, industrial production, and smart homes. However, traditional temperature sensor networks face some challenges, such as fixed network topology and low data fusion efficiency, which limit their performance improvement. This paper explores how to optimize temperature sensor networks by integrating artificial intelligence technology, including network topology optimization and data fusion strategy improvement, and verifies the performance improvement of the optimized network through experiments.