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Minimizing energy consumption in transmission efficient wireless sensor network

机译:最小化传输高效无线传感器网络中的能耗

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Compressive sensing reduces the no. of data transmission in wireless sensor network. In wireless sensor network traffic causes due to large number of data transmission thus the energy consumed by sensor nodes is high. Compressive sensing reduces the energy consumption in sensor nodes. In this paper we proposed the mobility aware MAC protocol which combines with compressive sensing and reduce the energy consumption in sensor nodes and also reduce the congestion in network. In addition to that for the better signal reconstruction of compressed signal at the sink node and data gathering we use the very simple deterministic measurement matrix design algorithm (SDMMDA). Due to this the reconstruction of signal gets better. The third thing we are using is backtracking based adaptive OMP (BAOMP) method which best reconstruct the original signal at sink node. In combination of these three methods we are trying to reduce the energy consumption in sensor nodes and to get the best original signal at sink node by reconstructing it. Thus the reconstruction of the compressed data gathering is improved.
机译:压缩感测减少了NO。无线传感器网络中的数据传输。在无线传感器网络流量中由于大量数据传输导致,因此传感器节点消耗的能量高。压缩感测减少了传感器节点中的能量消耗。在本文中,我们提出了与压缩感测的移动性感知MAC协议,并降低传感器节点中的能量消耗,并降低网络中的拥塞。除了在水槽节点和数据收集处的压缩信号的更好信号重建之外,我们使用非常简单的确定性测量矩阵设计算法(SDMMDA)。由于这种情况,信号的重建变得更好。我们使用的第三件事是基于回溯的基于自适应OMP(BAOMP)方法,该方法最能在宿节点中重建原始信号。结合这三种方法,我们正在尝试降低传感器节点中的能量消耗,并通过重建它来获得宿节点的最佳原始信号。因此,改善了压缩数据收集的重建。

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