基于LEACH协议的数据融合技术

Data Fusion Technology Based on LEACH Protocol

提出一种基于LEACH协议的两层数据融合方案(MLDA-LEACH)。根据LEACH协议的分簇结构,首先,簇成员节点使用卡尔曼滤波算法对采集的源数据进行去噪处理;然后,簇首节点采用分布图法对数据进行预处理,再应用自适应加权算法进行数据融合。实验结果表明,这种基于LEACH协议的两层数据融合方案MLDA-LEACH与传统LEACH算法相比有效地减少了冗余数据,降低了传感器节点的能耗,延长了无线传感器网络的生命周期。

In this paper,a multi-level data fusion scheme based on LEACH protocol（ MLDA-LEACH） is proposed. According to the hierarchy of LEACH protocol,first of all,the clusters use Kalman filtering algorithm to acquire the source data filtering to remove noise; secondly,the cluster nodes use distribution graph method to treat raw data to improve data accuracy,and then the adaptive weighted algorithm is used to aggregate the effective data. Simulation results show that MLDA-LEACH can effectively reduce energy consumption and prolong the life cycle of wireless sensor networks.