1-Bit Compressive Data Gathering for Wireless Sensor Networks
Compressive sensing (CS) has been widely used in wireless sensor networks for the purpose of reducing the data gathering communication overhead in recent years. In this paper, we firstly apply 1-bit compressive sensing to wireless sensor networks to further reduce the communication overhead that eac...
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| Veröffentlicht in: | Journal of sensors 2014-01, Vol.2014 (2014), p.1-8 |
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| container_title | Journal of sensors |
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| creator | Xiong, Jiping Tang, Qinghua |
| description | Compressive sensing (CS) has been widely used in wireless sensor networks for the purpose of reducing the data gathering communication overhead in recent years. In this paper, we firstly apply 1-bit compressive sensing to wireless sensor networks to further reduce the communication overhead that each sensor needs to send. Furthermore, we propose a novel blind 1-bit CS reconstruction algorithm which outperforms other state-of-the-art blind 1-bit CS reconstruction algorithms under the settings of WSN. Experimental results on real sensor datasets demonstrate the efficiency of our method. |
| doi_str_mv | 10.1155/2014/805423 |
| format | Article |
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| ispartof | Journal of sensors, 2014-01, Vol.2014 (2014), p.1-8 |
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Wiley Online Library (Open Access Collection); Alma/SFX Local Collection |
| subjects | Algorithms Blinds Detection Kalman filters Neural networks Product introduction Reconstruction Remote sensors Sensors Sparsity State of the art Wireless networks |
| title | 1-Bit Compressive Data Gathering for Wireless Sensor Networks |
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