TIIS (한국인터넷정보학회)
Current Result Document : 4 / 6
| 한글제목(Korean Title) |
Data Sorting-based Adaptive Spatial Compression in Wireless Sensor Networks |
| 영문제목(English Title) |
Data Sorting-based Adaptive Spatial Compression in Wireless Sensor Networks |
| 저자(Author) |
Siguang Chen
Jincheng Liu
Kun Wang
Zhixin Sun
Xuejian Zhao
|
| 원문수록처(Citation) |
VOL 10 NO. 08 PP. 3641 ~ 3655 (2016. 08) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Wireless sensor networks (WSNs) provide a promising approach to monitor the physical environments, to prolong the network lifetime by exploiting the mutual correlation among sensor readings has become a research focus. In this paper, we design a hierarchical network framework which guarantees layered-compression. Meanwhile, a data sorting-based adaptive spatial compression scheme (DS-ASCS) is proposed to explore the spatial correlation among signals. The proposed scheme reduces the amount of data transmissions and alleviates the network congestion. It also obtains high compression performance by sorting original sensor readings and selectively discarding the small coefficients in transformed matrix. Moreover, the compression ratio of this scheme varies according to the correlation among signals and the value of adaptive threshold, so the proposed scheme is adaptive to various deploying environments. Finally, the simulation results show that the energy of sorted data is more concentrated than the unsorted data, and the proposed scheme achieves higher reconstruction precision and compression ratio as compared with other spatial compression schemes.
|
| 키워드(Keyword) |
Wireless sensor networks
spatial correlation
hierarchical network
data sorting
spatial compression
|
| 파일첨부 |
PDF 다운로드
|
