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Smart city article details
| Title | Optimizing The Design And Application Of Wireless Sensor Networks In Smart Cities |
|---|---|
| ID_Doc | 40902 |
| Authors | Li P.; Kang R. |
| Year | 2025 |
| Published | Sustainable Civil Infrastructures, Part F4042 |
| DOI | http://dx.doi.org/10.1007/978-3-031-72509-8_72 |
| Abstract | Wireless sensor networks in smart cities are one of the important technical means to realize urban intelligence. However, due to the complexity of the urban environment and the limitations of sensor networks, the design and application of wireless sensor networks face many challenges. In order to optimize the design and application of wireless sensor networks in smart cities, this paper designs a smart city optimization system based on wireless sensor networks based on a remote monitoring and management platform in order to enable users to monitor the quality of the urban environment in real time and manage it effectively. The system is mainly based on the data analysis results of the background collection data and the front-end monitoring situation, using the different working modes of the MCU to optimize and improve the energy saving mode of the wireless radio frequency module. It realizes the efficient design and application of wireless sensor network in smart city and promotes the intelligent process of the city. For the smart city in the network monitoring process of network node power and data collection speed is too slow and other issues, the experimental analysis results show that: the smart city optimization system proposed in this paper has a better human–computer interface, the function is relatively more perfect, can ensure that users use wireless sensor networks to effectively monitor the environmental quality of the city, according to the experimental data can effectively improve the rapidity and accuracy of urban monitoring. According to the tested experimental data, the rapidity and accuracy of urban monitoring can be effectively improved. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. |
| Author Keywords | Energy consumption; Optimization; Smart city; Wireless sensor network |
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