Sensors | |
WSNs Data Acquisition by Combining Hierarchical Routing Method and Compressive Sensing | |
Zhiqiang Zou1  Cunchen Hu1  Fei Zhang1  Hao Zhao1  | |
[1] Nanjing University of Posts and Telecommunications, Nanjing 210003, China; E-Mails: | |
关键词: compressive sensing; wireless sensor networks; sparse representation; hierarchical routing method; energy efficiency; | |
DOI : 10.3390/s140916766 | |
来源: mdpi | |
【 摘 要 】
We address the problem of data acquisition in large distributed wireless sensor networks (WSNs). We propose a method for data acquisition using the hierarchical routing method and compressive sensing for WSNs. Only a few samples are needed to recover the original signal with high probability since sparse representation technology is exploited to capture the similarities and differences of the original signal. To collect samples effectively in WSNs, a framework for the use of the hierarchical routing method and compressive sensing is proposed, using a randomized rotation of cluster-heads to evenly distribute the energy load among the sensors in the network. Furthermore,
【 授权许可】
CC BY
© 2014 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
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