Research on adaptive compression coding for network coding in wireless sensor network |
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Authors: | , Liu Ying , Yang Zhen , Mei Zhonghui , Kong Yuanyuan |
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Affiliation: | Key Lab of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education,Nanjing University of Posts & Telecommunications, Nanjing 210003, China |
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Abstract: | Based on the sequence entropy of Shannon information theory, we work on the network coding technology in Wireless Sensor Network (WSN). In this paper, we take into account the similarity of the transmission sequences at the network coding node in the multi-sources and multi-receivers network in order to compress the data redundancy. Theoretical analysis and computer simulation results show that this proposed scheme not only further improves the efficiency of network transmission and enhances the throughput of the network, but also reduces the energy consumption of sensor nodes and extends the network life cycle. |
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Keywords: | Network coding Wireless Sensor Network (WSN) Sequence similarity Sequence entropy |
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