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
Main Authors: Zamani, M., Lahouti, F.
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.
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.
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  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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Issue 8
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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Snippet 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...
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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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