A reconstruction method based on AL0FGD for compressed sensing in border monitoring WSN system
In this paper, to monitor the border in real-time with high efficiency and accuracy, we applied the compressed sensing (CS) technology on the border monitoring wireless sensor network (WSN) system and proposed a reconstruction method based on approximately l0 norm and fast gradient descent (AL0FGD)...
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| Veröffentlicht in: | PloS one 2014-12, Vol.9 (12), p.e112932-e112932 |
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| creator | Wang, Yan Wu, Xi Li, Wenzao Zhang, Yi Li, Zhi Zhou, Jiliu |
| description | In this paper, to monitor the border in real-time with high efficiency and accuracy, we applied the compressed sensing (CS) technology on the border monitoring wireless sensor network (WSN) system and proposed a reconstruction method based on approximately l0 norm and fast gradient descent (AL0FGD) for CS. In the frontend of the system, the measurement matrix was used to sense the border information in a compressed manner, and then the proposed reconstruction method was applied to recover the border information at the monitoring terminal. To evaluate the performance of the proposed method, the helicopter sound signal was used as an example in the experimental simulation, and three other typical reconstruction algorithms 1)split Bregman algorithm, 2)iterative shrinkage algorithm, and 3)smoothed approximate l0 norm (SL0), were employed for comparison. The experimental results showed that the proposed method has a better performance in recovering the helicopter sound signal in most cases, which could be used as a basis for further study of the border monitoring WSN system. |
| doi_str_mv | 10.1371/journal.pone.0112932 |
| format | Article |
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In the frontend of the system, the measurement matrix was used to sense the border information in a compressed manner, and then the proposed reconstruction method was applied to recover the border information at the monitoring terminal. To evaluate the performance of the proposed method, the helicopter sound signal was used as an example in the experimental simulation, and three other typical reconstruction algorithms 1)split Bregman algorithm, 2)iterative shrinkage algorithm, and 3)smoothed approximate l0 norm (SL0), were employed for comparison. The experimental results showed that the proposed method has a better performance in recovering the helicopter sound signal in most cases, which could be used as a basis for further study of the border monitoring WSN system.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0112932</identifier><identifier>PMID: 25461759</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acoustics ; Algorithms ; Analysis ; Architectural engineering ; Computer and Information Sciences ; Computer science ; Computer simulation ; Decomposition ; Emigration and Immigration ; Energy consumption ; Engineering ; Engineering and Technology ; Helicopter performance ; Humans ; Image Processing, Computer-Assisted ; Information technology ; International conferences ; Internet ; Methods ; Monitoring ; Monitoring systems ; Problems ; Reconstruction ; Remote sensors ; Satellite Communications ; Sensors ; Shrinkage ; Signal processing ; Theory ; Wavelet transforms ; Wireless networks ; Wireless sensor networks ; Wireless Technology</subject><ispartof>PloS one, 2014-12, Vol.9 (12), p.e112932-e112932</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Wang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Wang et al 2014 Wang et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c641t-c0aeed30c0429bd9356c747c9ad1494a6492b8b5642a5fa2f45a5aae59f652863</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4251983/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4251983/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,862,883,2098,2917,23855,27913,27914,53780,53782,79359,79360</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25461759$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Ji, Rongrong</contributor><creatorcontrib>Wang, Yan</creatorcontrib><creatorcontrib>Wu, Xi</creatorcontrib><creatorcontrib>Li, Wenzao</creatorcontrib><creatorcontrib>Zhang, Yi</creatorcontrib><creatorcontrib>Li, Zhi</creatorcontrib><creatorcontrib>Zhou, Jiliu</creatorcontrib><title>A reconstruction method based on AL0FGD for compressed sensing in border monitoring WSN system</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>In this paper, to monitor the border in real-time with high efficiency and accuracy, we applied the compressed sensing (CS) technology on the border monitoring wireless sensor network (WSN) system and proposed a reconstruction method based on approximately l0 norm and fast gradient descent (AL0FGD) for CS. In the frontend of the system, the measurement matrix was used to sense the border information in a compressed manner, and then the proposed reconstruction method was applied to recover the border information at the monitoring terminal. To evaluate the performance of the proposed method, the helicopter sound signal was used as an example in the experimental simulation, and three other typical reconstruction algorithms 1)split Bregman algorithm, 2)iterative shrinkage algorithm, and 3)smoothed approximate l0 norm (SL0), were employed for comparison. The experimental results showed that the proposed method has a better performance in recovering the helicopter sound signal in most cases, which could be used as a basis for further study of the border monitoring WSN system.</description><subject>Acoustics</subject><subject>Algorithms</subject><subject>Analysis</subject><subject>Architectural engineering</subject><subject>Computer and Information Sciences</subject><subject>Computer science</subject><subject>Computer simulation</subject><subject>Decomposition</subject><subject>Emigration and Immigration</subject><subject>Energy consumption</subject><subject>Engineering</subject><subject>Engineering and Technology</subject><subject>Helicopter performance</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Information technology</subject><subject>International conferences</subject><subject>Internet</subject><subject>Methods</subject><subject>Monitoring</subject><subject>Monitoring 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system</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-12-02</date><risdate>2014</risdate><volume>9</volume><issue>12</issue><spage>e112932</spage><epage>e112932</epage><pages>e112932-e112932</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>In this paper, to monitor the border in real-time with high efficiency and accuracy, we applied the compressed sensing (CS) technology on the border monitoring wireless sensor network (WSN) system and proposed a reconstruction method based on approximately l0 norm and fast gradient descent (AL0FGD) for CS. In the frontend of the system, the measurement matrix was used to sense the border information in a compressed manner, and then the proposed reconstruction method was applied to recover the border information at the monitoring terminal. To evaluate the performance of the proposed method, the helicopter sound signal was used as an example in the experimental simulation, and three other typical reconstruction algorithms 1)split Bregman algorithm, 2)iterative shrinkage algorithm, and 3)smoothed approximate l0 norm (SL0), were employed for comparison. The experimental results showed that the proposed method has a better performance in recovering the helicopter sound signal in most cases, which could be used as a basis for further study of the border monitoring WSN system.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25461759</pmid><doi>10.1371/journal.pone.0112932</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Acoustics Algorithms Analysis Architectural engineering Computer and Information Sciences Computer science Computer simulation Decomposition Emigration and Immigration Energy consumption Engineering Engineering and Technology Helicopter performance Humans Image Processing, Computer-Assisted Information technology International conferences Internet Methods Monitoring Monitoring systems Problems Reconstruction Remote sensors Satellite Communications Sensors Shrinkage Signal processing Theory Wavelet transforms Wireless networks Wireless sensor networks Wireless Technology |
| title | A reconstruction method based on AL0FGD for compressed sensing in border monitoring WSN system |
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