无线传感器网络节能型数据融合算法

摘要

To reduce energy consumption of nodes in wireless sensor networks,a twice data fusion algorithm(TFA)was proposed. It shrunk the collecting excrescent data of a node by setting two thresholds so as to control data traffic and the energy consumption of nodes. Because the data collected by one node in wireless sensor networks are similar at the same time,TFA merges and shrinks the data magnitude at the node,and sends it to the control center. Additionally,the TRA compensates data for one node and syncretizes the data magnitude for a different node at the control center. Simulation results show that when setting the appropriate threshold,the TFA decreases the sensor node data traffic and reduces the energy consumption of the nodes,thereby extending the lifetime of the wireless sensor networks. The accuracy of the data is guaranteed by compensating.%为了降低无线传感器网络节点的能量消耗,提出二次数据融合算法(TFA).通过对每个节点设定阈值去除采集的冗余数据,控制传感器节点的数据传输量,从而控制无线通信的能量消耗.在传感器节点处,利用采集数据在时间上的相似性,对采集的数据进行融合；在控制中心,利用采集的数据在空间上的相似性,对采集的数据进行补偿和融合.仿真结果表明,当设定合适的阈值后,降低了传感器节点的数据通信量,因此节省了传感器节点的能量消耗,进而延长了无线传感器网络的生存时间,同时数据融合的精度得到了保证,取得了较好的融合结果.