An Energy-Efficient Collaborative Ground Vibration Measurement Scheme Based on Compressed Sensing and Belief Propagation

Chen, Danqi; Feng, Jufu; Liu, Qiang; Gao, Fuqing; Zhang, Yanxia; Wang, Xiaoying

doi:10.1155/2014/254710

Cited by 2 publications

(2 citation statements)

References 37 publications

(50 reference statements)

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“…In a collaborative disaster-monitoring system based on the compressed sensing method, seismic data can be obtained in an energy-efficient manner. tion, the system reconstructs seismic data and detects seismic events in accordance with our belief propagation fusion method [45]. This system transmits earthquake data, events and alerts to the server through a satellite link.…”

Section: Collaborative Disaster-monitoring Systemmentioning

confidence: 99%

“…The base station has a higher computing power and a larger solar energy supply than the sensor nodes. Therefore, at the base station, the system reconstructs seismic data and detects seismic events in accordance with our belief propagation fusion method [45]. This system transmits earthquake data, events and alerts to the server through a satellite link.…”

Section: Scheme Descriptionmentioning

confidence: 99%

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A Hybrid Scheme for Disaster-Monitoring Applications in Wireless Sensor Networks

Chen

Zhang

Pang

et al. 2023

Sensors

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Disaster monitoring is a primary task for wireless sensor networks. Systems for the rapid reporting of earthquake information are a crucial aspect of disaster monitoring. Furthermore, during emergency rescue after a large earthquake, wireless sensor networks can provide pictures and sound information to save lives. Therefore, when accompanied by multimedia data flow, the alert and seismic data sent by the seismic monitoring nodes must be sufficiently fast. We present herein the architecture of a collaborative disaster-monitoring system that can obtain seismic data in a highly energy-efficient manner. In this paper, a hybrid superior node token ring MAC scheme is proposed for disaster monitoring in wireless sensor networks. This scheme consists of set-up and steady-state stages. A clustering approach was proposed for heterogeneous networks during the set-up stage. The proposed MAC operates in the duty cycle mode at the steady-state stage and is based on the virtual token ring of ordinary nodes, the polling all the superior nodes in one period, and alert transmissions with a low-power listening and shortened preamble approach during the sleep state. The proposed scheme can simultaneously satisfy the requirements of three types of data in disaster-monitoring applications. Based on embedded Markov chains, a model of the proposed MAC was developed and the mean queue length, mean cycle time, and mean upper bound of the frame delay were obtained. Using simulations under various conditions, the clustering approach performed better than the pLEACH approach, and the theoretical results of the proposed MAC were verified. We found that alerts and superior data have outstanding delay and throughput performances even under heavy traffic intensity, and the proposed MAC can provide a data rate of several hundred kb/s for superior and ordinary data. Considering all three types of data, the frame delay performances of the proposed MAC are better than those of the WirelessHART and DRX schemes, and the alert data of the proposed MAC have a maximum frame delay of 15 ms. These satisfy the application requirements of disaster monitoring.

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Section: Collaborative Disaster-monitoring Systemmentioning

confidence: 99%

Section: Scheme Descriptionmentioning

confidence: 99%

A Hybrid Scheme for Disaster-Monitoring Applications in Wireless Sensor Networks

Chen

Zhang

Pang

et al. 2023

Sensors

Self Cite

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Crack detection in plastic pipe using piezoelectric transducers based on nonlinear ultrasonic modulation

Hong

Lin

et al. 2017

Smart Mater. Struct.

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As a common kind of failure, crack damages account for major losses in plastic pipeline systems, which are now increasingly being used. In this study, a crack detection method for plastic pipes using piezoelectric transducers based on nonlinear ultrasonic modulation is developed. First, the low frequency and the high frequency (HF) inputs generated by two lead zirconate titanate (PZT) transducers that are bonded to the outer surface of a plastic pipe are used to induce stress waves along the pipe. For the response signal detected by another PZT, the first spectral sideband is extracted using filtering and synchronous demodulation and then modified by a proposed mean equalization method. Subsequently, by applying wavelet packet analysis, the wavelet energy of the signal can be obtained and is used as an index to determine the damaged state. Finally, a series of experiments on plastic pipes of different crack damaged states were conducted using several ways to verify their effectiveness. Experimental results show that wavelet energy of the response signal decreases as the crack grows and it is mainly determined by the HF component of the response signal, while the wavelet energy of the modified first spectral sideband tends to become larger when the crack grows. Among the investigated approaches, it is found that the first spectral sideband can detect the crack damage state effectively.

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An Energy-Efficient Collaborative Ground Vibration Measurement Scheme Based on Compressed Sensing and Belief Propagation

Cited by 2 publications

References 37 publications

A Hybrid Scheme for Disaster-Monitoring Applications in Wireless Sensor Networks

A Hybrid Scheme for Disaster-Monitoring Applications in Wireless Sensor Networks

Crack detection in plastic pipe using piezoelectric transducers based on nonlinear ultrasonic modulation

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