Distributed source coding in wireless sensor networks

Author

Hua, Guogang ; Chen, Chang Wen

Author_Institution

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

fYear

2005

fDate

24-24 Aug. 2005

Lastpage

6

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

Keywords

Viterbi decoding; computational complexity; convolutional codes; error statistics; source coding; turbo codes; wireless sensor networks; Viterbi algorithm; computation complexity; convolutional code; decoding error probability; distributed data compression; distributed source coding; recursive systematic convolutional; turbo code; wireless sensor networks; Communication switching; Convolutional codes; Decoding; Energy consumption; Intelligent networks; Routing protocols; Source coding; Switches; Turbo codes; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Quality of Service in Heterogeneous Wired/Wireless Networks, 2005. Second International Conference on

Conference_Location

Lake Vista, FL

Print_ISBN

0-7695-2423-0

Type

conf

DOI

10.1109/QSHINE.2005.19

Filename

1551066