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Open AccessArticle

An Adaptive Genetic Algorithm of Adjusting Sensor Acquisition Frequency

College of Computer and Information Technology, China Three Gorges University, Yichang 443002, China
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Author to whom correspondence should be addressed.
Sensors 2020, 20(4), 990; https://doi.org/10.3390/s20040990
Received: 19 December 2019 / Revised: 10 February 2020 / Accepted: 10 February 2020 / Published: 12 February 2020
(This article belongs to the Section Sensor Networks)
Portable meteorological stations are widely applied in environment monitoring systems, but they are always limited in power-supplying due to no cable power, especially in long-term monitoring scenarios. Reducing power consumption by adjusting a suitable frequency of sensor acquisition is very important for wireless sensor nodes. The regularity of historical environment data from a monitoring system is analyzed, and then an optimization model of an adaptive genetic algorithm for environment monitoring data acquisition strategies is proposed to lessen sampling frequency. According to the historical characteristics, the algorithm dynamically changes the recent data acquisition frequency so as to collect data with a smaller acquisition frequency, which will reduce the energy consumption of the sensor. Experiment results in a practical environment show that the algorithm can greatly reduce the acquisition frequency, and can obtain the environment monitoring data changing curve with less error compared with the high-frequency acquisition of fixed frequency. View Full-Text
Keywords: data acquisition; frequency regulation; low power consumption; wireless sensor data acquisition; frequency regulation; low power consumption; wireless sensor
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MDPI and ACS Style

Chen, F.; Xu, S.; Zhao, Y.; Zhang, H. An Adaptive Genetic Algorithm of Adjusting Sensor Acquisition Frequency. Sensors 2020, 20, 990.

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