Low-Power Intelligent Wireless Sensor Network for Precision Agriculture Oriented Agricultural Greenhouse Management System
Wireless sensor networks are able to monitor environmental parameters in agricultural greenhouses in real time, thus realizing precise control of the growing environment of crops. However, wireless sensor networks usually need to run for a long time, which requires high energy consumption. To reduce...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10891530/ |
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| Summary: | Wireless sensor networks are able to monitor environmental parameters in agricultural greenhouses in real time, thus realizing precise control of the growing environment of crops. However, wireless sensor networks usually need to run for a long time, which requires high energy consumption. To reduce the energy consumption of wireless sensor networks in agricultural greenhouses, this study proposes a research on low-power intelligent wireless sensor networks for agricultural greenhouse management system for precision agriculture. The results showed that when the number of iterations reached 100, the clustering accuracy was as high as 94%, and the mean square error was the lowest 0.018, while when the number of iterations was 20, the mean square error was also maintained at 0.018. This showed that the method used performed well in optimizing quality of service routing in wireless sensor networks. When the number of sensor nodes was 100, the improved whale optimization algorithm accounted for only 15% of the routing energy consumption, while the simulated annealing algorithm accounted for 53% of the routing energy consumption. This further verified the effectiveness of the proposed method in improving the clustering accuracy and reducing the energy consumption of wireless sensor networks, especially in agricultural greenhouse management system. In conclusion, the research method not only effectively improves the clustering accuracy, but also significantly reduces the energy consumption, providing an efficient wireless sensor network optimization scheme for agricultural greenhouse management. |
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| ISSN: | 2169-3536 |