Efficient Data Transmission of Wireless Sensor Networks Through Compressive Sensing and Matrix Completion
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Data transmission has attracted widely concerning from worldwide researchers in wireless sensor networks. Jointly considered compressive sensing and matrix completion, a novel cross-layer optimal data transmission algorithm by maximizing utility function is proposed, which develops the stability control signal and valid link capacity. Original signals, with low-rank and sparsity, are processed that lead to the transmission is much less than original traffic. At same time, link capacity is allocated in a fair way, which avoids the congestion for data flow too large. Simulation results demonstrate that the algorithm is significantly effective for network lifetime and energy consumption.
KeywordsWireless sensor networks Compressive sensing Matrix completion Cross-layer optimization
This work has been supported by the National Natural Science Foundation of China under Grant No. 61374097, Fundamental Research Funds for the Central Universities of China N142303013, Program of Science and Technology Research of Hebei University QN2014326, School Funds Project of Northeastern University at Qinhuangdao XNB2015004.
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