Stream-oriented lossless packet compression in wireless sensor networks
SECON(2009)
摘要
In wireless sensor networks, the energy consumption of participating nodes has crucial impact on the resulting network lifetime. Data compression is a viable approach towards preserving energy by reducing packet sizes and thus minimizing the activity periods of the radio transceiver. In this paper, we propose a compression framework utilizing a stream-oriented compression scheme for sensor networks. It is specifically tailored to the capabilities of employed nodes and network traffic characteristics, which we determine in a characterization of WSN traffic patterns. To mitigate the inapplicability of traditional compression approaches, we present the Squeeze. KOM compression layer. By shifting data compression into a dedicated layer, only minor modifications to applications are required, while efficient data transfer between nodes is provided. As a proof-of-concept, we implement a stream-based compression algorithm on sensor nodes and perform an experimental analysis to determine the potential gains under realistic traffic conditions. Results indicate that our presented lossless stream-oriented payload compression leads to considerable savings.
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关键词
network traffic characteristic,stream-oriented compression scheme,kom compression layer,payload compression,stream-oriented lossless packet compression,wireless sensor network,efficient data transfer,data compression,wsn traffic pattern,compression framework,traditional compression approach,stream-based compression algorithm,payloads,compression algorithms,compression algorithm,experimental analysis,indexes,radio transceiver,history,data transfer,encoding,proof of concept,wireless sensor networks,transceivers,algorithm design and analysis,sensor network
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