Study of SAW Based on a Micro Force Sensor in Wireless Sensor Network
Wireless sensor network (WSN) technology has increasingly assumed an active role in detection, identification, location, and tracking applications after more than ten years of development. However, its application still suffers from technology bottlenecks, which must be solved and perfected to elimi...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2017/4967232 |
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| _version_ | 1832555047634862080 |
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| author | Jun Wang Yuanyuan Li Ke Chen Wenke Lu Qinghong Liu Haoxin Zhang Huashan Yan |
| author_facet | Jun Wang Yuanyuan Li Ke Chen Wenke Lu Qinghong Liu Haoxin Zhang Huashan Yan |
| author_sort | Jun Wang |
| collection | DOAJ |
| description | Wireless sensor network (WSN) technology has increasingly assumed an active role in detection, identification, location, and tracking applications after more than ten years of development. However, its application still suffers from technology bottlenecks, which must be solved and perfected to eliminate the key problems of the technology. This article investigates WSN acquisition nodes and analyzes the relationship between the frequency and actual pressure values of sensor nodes. The sensitive mechanism of the surface acoustic wave (SAW) based on a micro force sensor is researched, and the principle of least squares method is used to establish a transformation model of frequency and pressure for the SAW sensor. According to the model, polyfit function and matrix calculation are selected to solve and calculate the estimate of the polynomial coefficients, which simulate the data acquisition of WSN nodes and draw a polynomial curve fitting. The actual SAW sensor is tested to demonstrate the reasonableness of the device stability in WSNs. |
| format | Article |
| id | doaj-art-55ccebee02884881851b56dfa57c20c1 |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-55ccebee02884881851b56dfa57c20c12025-02-03T05:49:47ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552017-01-01201710.1155/2017/49672324967232Study of SAW Based on a Micro Force Sensor in Wireless Sensor NetworkJun Wang0Yuanyuan Li1Ke Chen2Wenke Lu3Qinghong Liu4Haoxin Zhang5Huashan Yan6College of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, ChinaCollege of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, ChinaCollege of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, ChinaElectronics and Information Engineering, Donghua University, Shanghai 201620, ChinaXi’an Leitong Science & Technology Co., Ltd., Xi’an 710049, ChinaXi’an Leitong Science & Technology Co., Ltd., Xi’an 710049, ChinaShanghai Advanced Traction Battery Systems Co., Ltd., Shanghai 201805, ChinaWireless sensor network (WSN) technology has increasingly assumed an active role in detection, identification, location, and tracking applications after more than ten years of development. However, its application still suffers from technology bottlenecks, which must be solved and perfected to eliminate the key problems of the technology. This article investigates WSN acquisition nodes and analyzes the relationship between the frequency and actual pressure values of sensor nodes. The sensitive mechanism of the surface acoustic wave (SAW) based on a micro force sensor is researched, and the principle of least squares method is used to establish a transformation model of frequency and pressure for the SAW sensor. According to the model, polyfit function and matrix calculation are selected to solve and calculate the estimate of the polynomial coefficients, which simulate the data acquisition of WSN nodes and draw a polynomial curve fitting. The actual SAW sensor is tested to demonstrate the reasonableness of the device stability in WSNs.http://dx.doi.org/10.1155/2017/4967232 |
| spellingShingle | Jun Wang Yuanyuan Li Ke Chen Wenke Lu Qinghong Liu Haoxin Zhang Huashan Yan Study of SAW Based on a Micro Force Sensor in Wireless Sensor Network Journal of Electrical and Computer Engineering |
| title | Study of SAW Based on a Micro Force Sensor in Wireless Sensor Network |
| title_full | Study of SAW Based on a Micro Force Sensor in Wireless Sensor Network |
| title_fullStr | Study of SAW Based on a Micro Force Sensor in Wireless Sensor Network |
| title_full_unstemmed | Study of SAW Based on a Micro Force Sensor in Wireless Sensor Network |
| title_short | Study of SAW Based on a Micro Force Sensor in Wireless Sensor Network |
| title_sort | study of saw based on a micro force sensor in wireless sensor network |
| url | http://dx.doi.org/10.1155/2017/4967232 |
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