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• W2185752722 abstract "Wireless sensor networks (WSN) are faced with the problem that network size is inversely proportional to network lifetime because the number of data packets transmitted is equal to the number of communication nodes for recovering original signal. Compressed sensing(CS) compresses and samples in sparse domain of network source to reduce the amount of transmitted data to accurately reconstruct original signal which is far less than the number of network nodes, and thereby reducing total energy consumption of network. Network coding (NC) is applied to intermediate node to encode data before forwarding it rather than simply store and forward it, achieving balance of network load. This paper introduces research status of two emerging technologies, proposing combined method by researching their inner contact and applying them to WSN to expand network size while reducing energy consumption to prolong life of network. Furthermore, we conclude our work and point out future research directions." @default.
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• W2185752722 date "2013-01-01" @default.
• W2185752722 modified "2023-09-24" @default.
• W2185752722 title "RESEARCH ON THE COMBINING OF COMPRESSED SENSING AND NETWORK CODING IN WIRELESS SENSOR NETWORK" @default.
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