An energy-saving algorithm for wireless sensor networks based on network coding and compressed sensing （CS-NCES） is proposed in this paper. Along with considering the correlations of data spatial and temporal, the a...An energy-saving algorithm for wireless sensor networks based on network coding and compressed sensing （CS-NCES） is proposed in this paper. Along with considering the correlations of data spatial and temporal, the algorithm utilizes the similarities between the encoding matrix of network coding and the measurement matrix of compressed sensing. The source node firstly encodes the data, then compresses the coding data by cot-npressed sensing over finite fields. Compared with the network coding scheme, simulation results show that CS-NCES reduces the energy consumption about 25.30/0-34.50/0 and improves the efficiency of data reconstruction about 1.56%- 5.98%. The proposed algorithm can not only enhance the usability of network coding in wireless sensor networks, but also improve the network performance.展开更多
文摘An energy-saving algorithm for wireless sensor networks based on network coding and compressed sensing （CS-NCES） is proposed in this paper. Along with considering the correlations of data spatial and temporal, the algorithm utilizes the similarities between the encoding matrix of network coding and the measurement matrix of compressed sensing. The source node firstly encodes the data, then compresses the coding data by cot-npressed sensing over finite fields. Compared with the network coding scheme, simulation results show that CS-NCES reduces the energy consumption about 25.30/0-34.50/0 and improves the efficiency of data reconstruction about 1.56%- 5.98%. The proposed algorithm can not only enhance the usability of network coding in wireless sensor networks, but also improve the network performance.
