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.
Highlights
With the increase of the urban population, how to manage cities intelligently to meet the various living needs of their many people is a problem that every urban citizen pays close attention to
The remainder of this paper is organized as follows: smart urban living architecture is introduced in detail in Section II, the energy consumption optimization model is illustrated in Section III, and the simulation experiment is described in Section IV to verify the effectiveness of the system
The smart urban living driven by emotion-guided interaction with sensing fabrics is proposed
Summary
With the increase of the urban population, how to manage cities intelligently to meet the various living needs of their many people is a problem that every urban citizen pays close attention to. Y. Jiang et al.: Smart Urban Living: Enabling Emotion-Guided Interaction With Generation Sensing Fabric proposed an efficient algorithm for a smart city with IoT media monitoring, and the algorithm fuses two kinds of algorithms in WSN packet routing and security. A smart urban living architecture is proposed in this article, which enables emotion-guided interaction with the generation of sensing fabric. The article proposes a smart urban living architecture, which uses sensing fabric as the terminal of emotion data collection. The amount of data for transmission is reduced by reducing information redundancy in the spatiotemporal environment related to emotion data to reduce the energy consumption of sensing fabrics and to improve the user’s emotional interaction experience. The remainder of this paper is organized as follows: smart urban living architecture is introduced in detail in Section II, the energy consumption optimization model is illustrated in Section III, and the simulation experiment is described in Section IV to verify the effectiveness of the system
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