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Minimizing energy consumption in transmission efficient wireless sensor network

机译:在传输效率高的无线传感器网络中将能耗降至最低

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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:压缩感测可减少编号。无线传感器网络中的数据传输。在无线传感器网络中,由于大量数据传输而导致流量,因此传感器节点消耗的能量很高。压缩感测降低了传感器节点的能耗。本文提出了一种移动感知MAC协议,该协议与压缩感知相结合,减少了传感器节点的能耗,并减少了网络拥塞。除此以外,为了在接收器节点处更好地重建压缩信号并进行数据收集,我们还使用了非常简单的确定性测量矩阵设计算法(SDMMDA)。因此,信号的重建变得更好。我们正在使用的第三件事是基于回溯的自适应OMP(BAOMP)方法,该方法可以最好地在宿节点处重构原始信号。结合这三种方法,我们试图减少传感器节点的能耗,并通过重构在接收节点上获得最佳原始信号。因此,改进了压缩数据收集的重建。

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