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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yongyou Yang |
| Copyright Year | 2012 |
| Description | Author affiliation: School of Information Science and Engineering, Graduate University of Chinese Academy of Sciences, Beijing, China (Yongyou Yang) |
| Abstract | We design a kind of wireless sensor network node for collecting parameters about environments of farmland, and employ compressive sensing algorithm in wireless sensor networks. Temperature is picked out for compressing and reconstructing. Primary analyses show that the algorithm can effectively compress observations for transmitting fewer packets. The increase in computation brought by compressive sensing is within acceptable range, and the total energy cost of the network is reduced by a large ratio. By taking comparison between original and recovery, the results quantitatively show that, compressive sensing algorithm possesses significant performance and efficiency, and can meet requirements of accuracy on signal compression in some applications of wireless sensor network. |
| Starting Page | 2372 |
| Ending Page | 2375 |
| File Size | 582650 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457714146 |
| e-ISBN | 9781457714153 |
| DOI | 10.1109/CECNet.2012.6201552 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-04-21 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Temperature sensors Temperature measurement Wireless sensor networks ZigBee Power demand Image coding Compressive sensing STM32F103 Compressed sensing |
| Content Type | Text |
| Resource Type | Article |
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