Compressive sensing based data gathering algorithm over unreliable links in WSN
To solve the problem that the ubiquitous unreliable links in the WSN influence the performance of the compressive sensing (CS) based data gathering,first the relationship between the reconstruction SNR of CS-based data gathering algorithm and the bit-error-ratio (BER) were simulated quantitatively.T...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2016-09-01
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| Series: | Tongxin xuebao |
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| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016185/ |
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| author | Ce ZHANG Xia ZHANG Ou LI Guan-lin MEI Zhe HAN Da-long ZHANG Guang-yi LIU |
| author_facet | Ce ZHANG Xia ZHANG Ou LI Guan-lin MEI Zhe HAN Da-long ZHANG Guang-yi LIU |
| author_sort | Ce ZHANG |
| collection | DOAJ |
| description | To solve the problem that the ubiquitous unreliable links in the WSN influence the performance of the compressive sensing (CS) based data gathering,first the relationship between the reconstruction SNR of CS-based data gathering algorithm and the bit-error-ratio (BER) were simulated quantitatively.Then classify two cases were classified,namely light-payload and heavy-payload,relying on the analysis of wireless link packet loss characteristics.The random packet loss model was conceived to describe the packet loss under light-payload scenario.Further the neighbor topology spatial correlation prediction-based CS data gathering (CS-NTSC) algorithm was proposed,which utilized the nodes spatial correlation to reduce the impact of error.Additionally,the node pseudo-failure model was conceived to describe the packet loss occurred in network congestion,and then the sparse schedule-aided CS data gathering (CS-SSDG) algorithm were conceived,for the purpose of changing the sparsity of measurement matrix and avoiding measurements amongst the nodes affected by unreliable links,thus weakening the impact of error/loss on data reconstruction.Simulation analysis indicates that the proposed algorithms are not only capable of improving the accuracy of the data reconstruction without extra energy,but also effectively reducing the impact affected by the unreliable links imposed on CS-based data gathering. |
| format | Article |
| id | doaj-art-b4e6956fe0d14f93a9f79ef4edf30f2a |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-09-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-b4e6956fe0d14f93a9f79ef4edf30f2a2025-01-14T06:55:59ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-09-013713114159703521Compressive sensing based data gathering algorithm over unreliable links in WSNCe ZHANGXia ZHANGOu LIGuan-lin MEIZhe HANDa-long ZHANGGuang-yi LIUTo solve the problem that the ubiquitous unreliable links in the WSN influence the performance of the compressive sensing (CS) based data gathering,first the relationship between the reconstruction SNR of CS-based data gathering algorithm and the bit-error-ratio (BER) were simulated quantitatively.Then classify two cases were classified,namely light-payload and heavy-payload,relying on the analysis of wireless link packet loss characteristics.The random packet loss model was conceived to describe the packet loss under light-payload scenario.Further the neighbor topology spatial correlation prediction-based CS data gathering (CS-NTSC) algorithm was proposed,which utilized the nodes spatial correlation to reduce the impact of error.Additionally,the node pseudo-failure model was conceived to describe the packet loss occurred in network congestion,and then the sparse schedule-aided CS data gathering (CS-SSDG) algorithm were conceived,for the purpose of changing the sparsity of measurement matrix and avoiding measurements amongst the nodes affected by unreliable links,thus weakening the impact of error/loss on data reconstruction.Simulation analysis indicates that the proposed algorithms are not only capable of improving the accuracy of the data reconstruction without extra energy,but also effectively reducing the impact affected by the unreliable links imposed on CS-based data gathering.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016185/WSN,data gathercompressive sensingunreliable linkspatial correlation |
| spellingShingle | Ce ZHANG Xia ZHANG Ou LI Guan-lin MEI Zhe HAN Da-long ZHANG Guang-yi LIU Compressive sensing based data gathering algorithm over unreliable links in WSN Tongxin xuebao WSN,data gather compressive sensing unreliable link spatial correlation |
| title | Compressive sensing based data gathering algorithm over unreliable links in WSN |
| title_full | Compressive sensing based data gathering algorithm over unreliable links in WSN |
| title_fullStr | Compressive sensing based data gathering algorithm over unreliable links in WSN |
| title_full_unstemmed | Compressive sensing based data gathering algorithm over unreliable links in WSN |
| title_short | Compressive sensing based data gathering algorithm over unreliable links in WSN |
| title_sort | compressive sensing based data gathering algorithm over unreliable links in wsn |
| topic | WSN,data gather compressive sensing unreliable link spatial correlation |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016185/ |
| work_keys_str_mv | AT cezhang compressivesensingbaseddatagatheringalgorithmoverunreliablelinksinwsn AT xiazhang compressivesensingbaseddatagatheringalgorithmoverunreliablelinksinwsn AT ouli compressivesensingbaseddatagatheringalgorithmoverunreliablelinksinwsn AT guanlinmei compressivesensingbaseddatagatheringalgorithmoverunreliablelinksinwsn AT zhehan compressivesensingbaseddatagatheringalgorithmoverunreliablelinksinwsn AT dalongzhang compressivesensingbaseddatagatheringalgorithmoverunreliablelinksinwsn AT guangyiliu compressivesensingbaseddatagatheringalgorithmoverunreliablelinksinwsn |