CS-FCDA: A Compressed Sensing-Based on Fault-Tolerant Data Aggregation in Sensor Networks
When the nodes in the network are deployed in the target area with an appropriate density, the effective aggregation and transmission of the data gathered in the monitoring area remain to be solved. The existing Compressed Sensing (CS) based on data aggregation schemes are accomplished in a centrali...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-11-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/18/11/3749 |
| _version_ | 1811300198678265856 |
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| author | Zeyu Sun Huihui Wang Baoluo Liu Chuanfeng Li Xiaoyan Pan Yalin Nie |
| author_facet | Zeyu Sun Huihui Wang Baoluo Liu Chuanfeng Li Xiaoyan Pan Yalin Nie |
| author_sort | Zeyu Sun |
| collection | DOAJ |
| description | When the nodes in the network are deployed in the target area with an appropriate density, the effective aggregation and transmission of the data gathered in the monitoring area remain to be solved. The existing Compressed Sensing (CS) based on data aggregation schemes are accomplished in a centralized manner and the Sink node achieves the task of data aggregation. However, these existing schemes may suffer from load imbalance and coverage void issues. In order to address these problems, we propose a Compressed Sensing based on Fault-tolerant Correcting Data Aggregation (CS-FCDA) scheme to accurately reconstruct the compressed data. Therefore, the network communication overhead can be greatly reduced while maintaining the quality of the reconstructed data. Meanwhile, we adopt the node clustering mechanism to optimize and balance the network load. It is shown via simulation results, compared with other data aggregation schemes, that the proposed scheme shows obvious improvement in terms of the Fault-tolerant correcting capability and the network energy efficiency of the data reconstruction. |
| first_indexed | 2024-04-13T06:47:44Z |
| format | Article |
| id | doaj.art-8748ffd3db674843a7a45076c29cd5f4 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T06:47:44Z |
| publishDate | 2018-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-8748ffd3db674843a7a45076c29cd5f42022-12-22T02:57:32ZengMDPI AGSensors1424-82202018-11-011811374910.3390/s18113749s18113749CS-FCDA: A Compressed Sensing-Based on Fault-Tolerant Data Aggregation in Sensor NetworksZeyu Sun0Huihui Wang1Baoluo Liu2Chuanfeng Li3Xiaoyan Pan4Yalin Nie5School of Computer Science and Engineering, Luoyang Institute of Science and Technology, Luoyang 471023, ChinaDepartment of Engineering, Jacksonville University, Jacksonville, FL 32211, USASchool of Computer Science and Engineering, Luoyang Institute of Science and Technology, Luoyang 471023, ChinaSchool of Computer Science and Engineering, Luoyang Institute of Science and Technology, Luoyang 471023, ChinaSchool of Computer Science and Engineering, Luoyang Institute of Science and Technology, Luoyang 471023, ChinaSchool of Computer Science and Engineering, Luoyang Institute of Science and Technology, Luoyang 471023, ChinaWhen the nodes in the network are deployed in the target area with an appropriate density, the effective aggregation and transmission of the data gathered in the monitoring area remain to be solved. The existing Compressed Sensing (CS) based on data aggregation schemes are accomplished in a centralized manner and the Sink node achieves the task of data aggregation. However, these existing schemes may suffer from load imbalance and coverage void issues. In order to address these problems, we propose a Compressed Sensing based on Fault-tolerant Correcting Data Aggregation (CS-FCDA) scheme to accurately reconstruct the compressed data. Therefore, the network communication overhead can be greatly reduced while maintaining the quality of the reconstructed data. Meanwhile, we adopt the node clustering mechanism to optimize and balance the network load. It is shown via simulation results, compared with other data aggregation schemes, that the proposed scheme shows obvious improvement in terms of the Fault-tolerant correcting capability and the network energy efficiency of the data reconstruction.https://www.mdpi.com/1424-8220/18/11/3749sensor networkscompressed sensingdata aggregationnode clustering |
| spellingShingle | Zeyu Sun Huihui Wang Baoluo Liu Chuanfeng Li Xiaoyan Pan Yalin Nie CS-FCDA: A Compressed Sensing-Based on Fault-Tolerant Data Aggregation in Sensor Networks Sensors sensor networks compressed sensing data aggregation node clustering |
| title | CS-FCDA: A Compressed Sensing-Based on Fault-Tolerant Data Aggregation in Sensor Networks |
| title_full | CS-FCDA: A Compressed Sensing-Based on Fault-Tolerant Data Aggregation in Sensor Networks |
| title_fullStr | CS-FCDA: A Compressed Sensing-Based on Fault-Tolerant Data Aggregation in Sensor Networks |
| title_full_unstemmed | CS-FCDA: A Compressed Sensing-Based on Fault-Tolerant Data Aggregation in Sensor Networks |
| title_short | CS-FCDA: A Compressed Sensing-Based on Fault-Tolerant Data Aggregation in Sensor Networks |
| title_sort | cs fcda a compressed sensing based on fault tolerant data aggregation in sensor networks |
| topic | sensor networks compressed sensing data aggregation node clustering |
| url | https://www.mdpi.com/1424-8220/18/11/3749 |
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