Distributed source coding in wireless sensor networks

Guogang  Hua; Chang Wen  Chen

2nd International ICST Conference on Quality of Service in Heterogeneous Wired/Wireless Networks

Research Article

Distributed source coding in wireless sensor networks

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/QSHINE.2005.19,
    author={ Guogang  Hua and Chang Wen  Chen },
    title={Distributed source coding in wireless sensor networks},
    proceedings={2nd International ICST Conference on Quality of Service in Heterogeneous Wired/Wireless Networks},
    publisher={IEEE},
    proceedings_a={QSHINE},
    year={2005},
    month={12},
    keywords={},
    doi={10.1109/QSHINE.2005.19}
}

Guogang Hua
Chang Wen Chen
Year: 2005
Distributed source coding in wireless sensor networks
QSHINE
IEEE
DOI: 10.1109/QSHINE.2005.19

Guogang Hua¹, Chang Wen Chen ¹

1: Wireless Center of Excellence, Florida Inst. of Technol., Melbourne, FL

Abstract

This paper offers a practical distributed data compression in wireless sensor networks based on convolutional code and turbo code. An improved Viterbi algorithm for distributed source coding (VA-DSC) is proposed to take the advantage of the known parity bits at the decoder. When the algorithm is applied to recursive systematic convolutional (RSC) and turbo codes, it can decrease both the decoding error probability and the computation complexity. Also a scheme of applying distributed source coding to wireless sensor networks is proposed to ensure receiving the data correctly as well as reducing the energy consumption in the networks

Published: 2005-12-12
Publisher: IEEE

: http://dx.doi.org/10.1109/QSHINE.2005.19

Distributed source coding in wireless sensor networks

Abstract

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