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高效的数据融合节能策略是延长无线传感器网络生命周期的关键技术之一.为有效节省网络节点能耗提升网络性能,给出一种基于非线性反正切函数的无线传感器网络高效数据融合算法.该算法首先根据数据传输流量变化确定一个均值中心时刻点,然后通过采用非均匀采样的方法进行采样,距离中心点越近的时刻,采样点越多,数据融合率越低;距离中心点越远的时刻,采样点越少,数据融合率越高.仿真和性能分析结果表明该算法具有较好数据融合性能,具有易于实现和灵活高效的特点,可适用于实际的无线传感器网络环境中.
Efficient Data Fusion and Energy Saving Strategy is one of the key technologies to extend the life cycle of wireless sensor networks.In order to effectively save network nodes energy consumption and improve network performance, an efficient data fusion algorithm based on nonlinear arctangent function for wireless sensor networks is proposed. The algorithm firstly determines a mean time point according to the change of data transmission flow rate and then samples it by using non-uniform sampling method. The closer the time is from the center point, the more sampling points, the lower the data fusion rate. The farther away from the center point At the moment, the fewer sampling points, the higher the data fusion rate.The simulation and performance analysis results show that the proposed algorithm has better data fusion performance, is easy to implement and flexible and efficient, and can be applied in practical wireless sensor network environment.