一种基于混合压缩感知的WSN能耗优化方法

网络节点能耗是影响无线传感器网络生命周期的重要因素。提出了一种基于混合压缩感知(Hybrid-CS)的网络能耗优化方法。首先,为保证数据重构精度,根据参加数据收集节点数的不同,确定合理的观测矩阵维数范围。然后,通过分析不同维数观测矩阵对Hybrid-CS发送数据量的影响,求出较优的观测矩阵维数,从而使所设计的方法达到降低网络能耗的目的。仿真结果表明,该方法在节约网络能耗的同时还保证了数据重构精度。

A hybrid-CS based optimization methodof energy consumption in WSN

The energy consumption of network nodes has an important effect on network lifetime. We propose a network energy consumption optimization method based on Hybrid CS. Firstly, according to the number of nodes participating in data gathering, a reasonable dimension range of measurement matrix is determined in order to ensure the accuracy of date reconstruction. Secondly, by analyzing the effect of different measurement matrix dimensions on the amount of sending data, we derive a better measurement matrix dimension for Hybrid CS, thus the reduction of network energy consumption can be achieved. Simulation results show that the proposed method cannot only save network energy, but also ensure the accuracy of data reconstruction.