Strain Sensing through a Passive Wireless Sensor Array

2012 ◽  
Author(s):  
Xiaohua Yi ◽  
Chia-Hung Fang ◽  
James Cooper ◽  
Chunhee Cho ◽  
Rushi Vyas ◽  
...  
Keyword(s):  
Sensor Array ◽  
Wireless Sensor ◽  
Strain Sensing

scholarly journals Compressive Sensing Based Sampling and Reconstruction for Wireless Sensor Array Network

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Ming Yin ◽  
Kai Yu ◽  
Zhi Wang
Keyword(s):  
Compressive Sensing ◽  
Sensor Array ◽  
Superior Performance ◽  
Wireless Sensor ◽  
Prototype System ◽  
Reconstruction Method ◽  
Compressed Sampling ◽  
Data Volume ◽  
Simulation Results ◽  
Sparsity Structure

For low-power wireless systems, transmission data volume is a key property, which influences the energy cost and time delay of transmission. In this paper, we introduce compressive sensing to propose a compressed sampling and collaborative reconstruction framework, which enables real-time direction of arrival estimation for wireless sensor array network. In sampling part, random compressed sampling and 1-bit sampling are utilized to reduce sample data volume while making little extra requirement for hardware. In reconstruction part, collaborative reconstruction method is proposed by exploiting similar sparsity structure of acoustic signal from nodes in the same array. Simulation results show that proposed framework can reach similar performances as conventional DoA methods while requiring less than 15% of transmission bandwidth. Also the proposed framework is compared with some data compression algorithms. While simulation results show framework’s superior performance, field experiment data from a prototype system is presented to validate the results.

scholarly journals An Energy Efficient Synchronization Protocol for Target Tracking in Wireless Sensor Array Networks

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1367
Author(s):  
Jie Shen ◽  
Ming Yin ◽  
Ji-An Luo ◽  
Zhi-Bo Wang ◽  
Zhi Wang ◽  
...  
Keyword(s):  
Target Tracking ◽  
Energy Efficient ◽  
Sensor Array ◽  
Time Synchronization ◽  
Wireless Sensor ◽  
Guarantee System ◽  
Network Maintenance ◽  
Array Synchronization ◽  
Synchronization Accuracy ◽  
Synchronization Protocol

Time synchronization is an important middleware function that supports the Quality of Service (QoS) of systems in wireless sensor array networks. Instead of providing high synchronization accuracy for all application scenarios, we argue that synchronization protocols should be application specific. In this paper, we exploit the synchronization requirements of target-tracking systems in wireless sensor array networks and propose an energy-efficient Sensor Array Synchronization Protocol (SASP), which provides the required synchronization accuracy to guarantee the QoS. Specifically, when no target appears, to guarantee system lifetime, coarse synchronization is achieved with little overhead by piggybacking time information onto periodical network maintenance packets. Once targets appear, SASP achieves high inter-array and relatively higher intra-array synchronization accuracy rather than the traditional network-wide high accuracy on average. In this way, it guarantees reliable communication and accurate data fusion, while reducing energy consumption. Theoretical analysis and extensive evaluations show the effectiveness of the proposed protocol.

scholarly journals Wireless Sensor Array Network DoA Estimation from Compressed Array Data via Joint Sparse Representation

Sensors ◽  
2016 ◽  
Vol 16 (5) ◽  
pp. 686 ◽  
Author(s):  
Kai Yu ◽  
Ming Yin ◽  
Ji-An Luo ◽  
Yingguan Wang ◽  
Ming Bao ◽  
...  
Keyword(s):  
Sparse Representation ◽  
Sensor Array ◽  
Doa Estimation ◽  
Wireless Sensor ◽  
Array Data ◽  
Joint Sparse Representation

A battery-free 64-channel neural spike wireless sensor array

2013 ◽  
Author(s):  
Alberto Rodríguez-Pérez ◽  
Jesús Ruiz-Amaya ◽  
Jens Masuch ◽  
José Antonio Rodríguez-Rodríguez ◽  
Manuel Delgado-Restituto ◽  
...  
Keyword(s):  
Sensor Array ◽  
Wireless Sensor ◽  
Neural Spike

scholarly journals Key Technology of Electronic Nose Gas Recognizer Based on Wireless Sensor Networks

2018 ◽  
Vol 14 (10) ◽  
pp. 68
Author(s):  
Mei Hong
Keyword(s):  
Transient Response ◽  
Electronic Nose ◽  
Wireless Sensors ◽  
Response Curve ◽  
Sensor Array ◽  
Diesel Oil ◽  
Engine Oil ◽  
Wireless Sensor ◽  
Mixed Gas ◽  
Response Curves

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;">Electronic nose gas recognizer is a kind of instrument simulating biological olfactory function for gas detection, which is widely applied in underground construction, aerospace, medical treatment and other fields. The sensing mechanism of the wireless sensor is complex. The wireless sensor array can realize the cross-response of the mixed gas, as well as data acquisition, processing and transmission by wireless transmission. This study applies the wireless sensor array to the electronic nose gas recognition technology, and conducts detection and recognition of three kinds of volatile gas, as well as analyzes the transient response of four wireless sensors and the transient response of wireless sensor array. It is found that the transient response curves are related to the characteristics and sample properties of wireless sensors, but not directly related to sample components. The whole transient response process includes four processes, namely steady state, rising process, maximum response and falling process. The response curve change of wireless sensor array to engine oil volatile gas is similar to that of diesel oil, but the conductance value is smaller than that of diesel oil gas response curve.</span>

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