Zero-effort projection for sensory data reconstruction in wireless sensor networks
Compressive sensing is a promising technique for data gathering in large-scale wireless sensor networks. Existing compressive sensing–based data gathering techniques still follow sampling than compression paradigm. In this article, we proposed a random sampling zero-encoding data gathering scheme fo...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-08-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147716659425 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832556743966588928 |
|---|---|
| author | Xiancun Zhou Haibo Ling |
| author_facet | Xiancun Zhou Haibo Ling |
| author_sort | Xiancun Zhou |
| collection | DOAJ |
| description | Compressive sensing is a promising technique for data gathering in large-scale wireless sensor networks. Existing compressive sensing–based data gathering techniques still follow sampling than compression paradigm. In this article, we proposed a random sampling zero-encoding data gathering scheme for wireless sensor networks, which exploits virtual Gaussian energy diffusion model to obtain sampling and compression data gathering. Our proposed data gathering model not only can make simultaneous sampling and compression but also do not need to assign projection matrix to each sensor node. Our scheme can efficiently resolve two types of sensor networks’ data gathering problems: recover missing sensory data and extend monitoring field using incomplete random sampling. Extensive experimental results show that our proposed random sampling zero-encoding data gathering model has good performance for reconstructing the sensory data in wireless sensor networks. |
| format | Article |
| id | doaj-art-5462695b711d4ff49f4c699e0610081c |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2016-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-5462695b711d4ff49f4c699e0610081c2025-02-03T05:44:33ZengWileyInternational Journal of Distributed Sensor Networks1550-14772016-08-011210.1177/1550147716659425Zero-effort projection for sensory data reconstruction in wireless sensor networksXiancun ZhouHaibo LingCompressive sensing is a promising technique for data gathering in large-scale wireless sensor networks. Existing compressive sensing–based data gathering techniques still follow sampling than compression paradigm. In this article, we proposed a random sampling zero-encoding data gathering scheme for wireless sensor networks, which exploits virtual Gaussian energy diffusion model to obtain sampling and compression data gathering. Our proposed data gathering model not only can make simultaneous sampling and compression but also do not need to assign projection matrix to each sensor node. Our scheme can efficiently resolve two types of sensor networks’ data gathering problems: recover missing sensory data and extend monitoring field using incomplete random sampling. Extensive experimental results show that our proposed random sampling zero-encoding data gathering model has good performance for reconstructing the sensory data in wireless sensor networks.https://doi.org/10.1177/1550147716659425 |
| spellingShingle | Xiancun Zhou Haibo Ling Zero-effort projection for sensory data reconstruction in wireless sensor networks International Journal of Distributed Sensor Networks |
| title | Zero-effort projection for sensory data reconstruction in wireless sensor networks |
| title_full | Zero-effort projection for sensory data reconstruction in wireless sensor networks |
| title_fullStr | Zero-effort projection for sensory data reconstruction in wireless sensor networks |
| title_full_unstemmed | Zero-effort projection for sensory data reconstruction in wireless sensor networks |
| title_short | Zero-effort projection for sensory data reconstruction in wireless sensor networks |
| title_sort | zero effort projection for sensory data reconstruction in wireless sensor networks |
| url | https://doi.org/10.1177/1550147716659425 |
| work_keys_str_mv | AT xiancunzhou zeroeffortprojectionforsensorydatareconstructioninwirelesssensornetworks AT haiboling zeroeffortprojectionforsensorydatareconstructioninwirelesssensornetworks |