Distributed Joint Source-Channel Coding with Raptor Codes for Correlated Data Gathering in Wireless Sensor Networks

Nikos Deligiannis; Evangelos Zimos; Dragoş Mihai Ofrim; Yiannis Andreopoulos; Adrian Munteanu

doi:10.4108/icst.bodynets.2014.257111

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Distributed Joint Source-Channel Coding with Raptor Codes for Correlated Data Gathering in Wireless Sensor Networks

Nikos Deligiannis Evangelos Zimos Dragoş Mihai Ofrim Yiannis Andreopoulos Adrian Munteanu

Year: 2014

DOI: 10.4108/icst.bodynets.2014.257111

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Abstract

Correlated data gathering in body area networks calls for systems that perform efficient compression and reliable transmission of the measurements, while imposing a small computational burden at the sensors. Highly-efficient compression mechanisms, e.g., adaptive arithmetic entropy encoding, do not

Keywords:

Computer science Distributed source coding Wireless sensor network Entropy encoding Data compression Channel code Entropy (arrow of time) Raptor code Joint (building) Adaptive coding Coding (social sciences) Data collection Wireless Arithmetic coding Computer network Real-time computing Decoding methods Context-adaptive binary arithmetic coding Algorithm Telecommunications Block code Concatenated error correction code Lossless compression Mathematics Engineering

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Topics

Energy Efficient Wireless Sensor Networks

Physical Sciences → Computer Science → Computer Networks and Communications

Wireless Body Area Networks

Physical Sciences → Engineering → Biomedical Engineering

Distributed Sensor Networks and Detection Algorithms

Physical Sciences → Computer Science → Computer Networks and Communications

Distributed Joint Source-Channel Coding with Raptor Codes for Correlated Data Gathering in Wireless Sensor Networks

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