Abstract
With the rapid development of technologies, such as 5G, cloud computing, and artificial intelligence, smart cities are gradually being implemented from a concept to actual development and deployment. A smart city integrates the management of multiple internet of things (IoT) terminals to improve urban development and to provide people with a better way of life. As a mobile and flexible terminal form of IoT, sensing fabric has been widely used in smart cities. In this article, a new generation of sensing fabric is combined with the smart city, and an emotion-guided interaction architecture of smart urban living is proposed. However, there is a lot of information redundancy in the spatiotemporal environment that is collected by the various sensing fabrics in a smart city. Therefore, an energy consumption optimization model for sensing fabrics based on the information redundancy in the spatiotemporal environment is also put forward. By recognizing the current data collection ability and residual energy of sensing fabric, an optimal data allocation strategy is obtained to further improve the user experience of the smart urban system. Simulation experiments were carried out to verify the effectiveness of the proposed model.