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Adaptive Data Acquisition with Energy Efficiency and Critical-Sensing Guarantee for Wireless Sensor Networks

1
School of Information and Computer Sciences, Anhui Agricultural University, Hefei 230036, China
2
Key Laboratory of Agricultural IoT, Ministry of Agriculture Rural Affairs, Yangling 712100, China
3
Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210003, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(12), 2654; https://doi.org/10.3390/s19122654
Received: 30 April 2019 / Revised: 2 June 2019 / Accepted: 6 June 2019 / Published: 12 June 2019
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Abstract

Due to the limited energy budget, great efforts have been made to improve energy efficiency for wireless sensor networks. The advantage of compressed sensing is that it saves energy because of its sparse sampling; however, it suffers inherent shortcomings in relation to timely data acquisition. In contrast, prediction-based approaches are able to offer timely data acquisition, but the overhead of frequent model synchronization and data sampling weakens the gain in the data reduction. The integration of compressed sensing and prediction-based approaches is one promising data acquisition scheme for the suppression of data transmission, as well as timely collection of critical data, but it is challenging to adaptively and effectively conduct appropriate switching between the two aforementioned data gathering modes. Taking into account the characteristics of data gathering modes and monitored data, this research focuses on several key issues, such as integration framework, adaptive deviation tolerance, and adaptive switching mechanism of data gathering modes. In particular, the adaptive deviation tolerance is proposed for improving the flexibility of data acquisition scheme. The adaptive switching mechanism aims at overcoming the drawbacks in the traditional method that fails to effectively react to the phenomena change unless the sampling frequency is sufficiently high. Through experiments, it is demonstrated that the proposed scheme has good flexibility and scalability, and is capable of simultaneously achieving good energy efficiency and high-quality sensing of critical events. View Full-Text
Keywords: adaptive; data acquisition; energy efficiency; critical events; sensing guarantee adaptive; data acquisition; energy efficiency; critical events; sensing guarantee
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Rao, Y.; Zhao, G.; Wang, W.; Zhang, J.; Jiang, Z.; Wang, R. Adaptive Data Acquisition with Energy Efficiency and Critical-Sensing Guarantee for Wireless Sensor Networks. Sensors 2019, 19, 2654.

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