Distributed source coding using symbol-based and non-binary turbo codes – applications to wireless sensor networks
A simple but powerful scheme for distributed source coding (DSC) based on the concept of binning and syndromes and non traditional turbo codes is proposed. The previous works on the compression with side information using turbo codes and the binning technique are focused on binary turbo codes. The s...
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| Published in: | IET communications Vol. 2; no. 8; pp. 1089 - 1097 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Stevenage
Institution of Engineering and Technology
01.09.2008
John Wiley & Sons, Inc |
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| ISSN: | 1751-8628, 1751-8636 |
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| Abstract | A simple but powerful scheme for distributed source coding (DSC) based on the concept of binning and syndromes and non traditional turbo codes is proposed. The previous works on the compression with side information using turbo codes and the binning technique are focused on binary turbo codes. The source is considered to be binary or is converted to a binary stream. This conversion, however, reduces the redundancy that could be exploited by the compression algorithm. To achieve higher compression efficiency, the authors propose using a scheme based on a turbo decoder that decides over symbols rather than bits. In the same direction and for further performance improvement, at the cost of increased encoder complexity, they also present a DSC scheme based on non-binary turbo codes. The results demonstrate improved performance. Based on the suggested algorithms, a scheme for gathering real data in wireless sensor networks and assess the corresponding energy savings is proposed. |
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| AbstractList | A simple but powerful scheme for distributed source coding (DSC) based on the concept of binning and syndromes and non traditional turbo codes is proposed. The previous works on the compression with side information using turbo codes and the binning technique are focused on binary turbo codes. The source is considered to be binary or is converted to a binary stream. This conversion, however, reduces the redundancy that could be exploited by the compression algorithm. To achieve higher compression efficiency, the authors propose using a scheme based on a turbo decoder that decides over symbols rather than bits. In the same direction and for further performance improvement, at the cost of increased encoder complexity, they also present a DSC scheme based on non-binary turbo codes. The results demonstrate improved performance. Based on the suggested algorithms, a scheme for gathering real data in wireless sensor networks and assess the corresponding energy savings is proposed. |
| Author | Lahouti, F. Zamani, M. |
| Author_xml | – sequence: 1 givenname: M. surname: Zamani fullname: Zamani, M. organization: Department of Electrical and Computer Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada – sequence: 2 givenname: F. surname: Lahouti fullname: Lahouti, F. organization: Center of Excellence on Applied Electromagnetic Systems, School of Electrical & Computer Engineering, University of Tehran, PO BOX 14395-515, Tehran, Iran |
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| Cites_doi | 10.1109/TIT.2002.808103 10.1109/TIT.1973.1055037 10.1109/18.556664 10.1109/MSP.2004.1328091 10.1109/18.661532 10.1109/TIT.1974.1055186 10.1109/4234.798019 10.1109/TIT.2006.881708 10.1049/el:20010032 10.1109/TCOMM.2005.843414 10.1109/DCC.2003.1194010 |
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| Keywords | Performance evaluation Source coding Redundancy Wireless telecommunication Distributed source signal Turbo code Sensor array Algorithm Binary code Energy savings Remote sensing |
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| SubjectTerms | Algorithms Applied sciences Coding Coding, codes Compressing Differential scanning calorimetry Energy conservation Exact sciences and technology Information, signal and communications theory Remote sensors Services and terminals of telecommunications Signal and communications theory Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Telemetry. Remote supervision. Telewarning. Remote control Turbo codes Wireless networks |
| Title | Distributed source coding using symbol-based and non-binary turbo codes – applications to wireless sensor networks |
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