拓扑感知的无线传感网络数据聚合方法

针对无线传感网络中数据聚合能耗和重建误差问题,提出了一种拓扑感知的数据聚合方法(TADA).首先,构建了一个包含网络初始化、数据分帧和数据预处理的数据流,形成无线传感网络的通信过程;然后,构造测量矩阵将数据分解为多个路径转发,从而进行全网络矢量分配,并提出了基于平衡最小生成树是数据聚合算法.通过实验表明:所提方法在数据聚合能耗和数据重建错误率要求上低于其它压缩感知的方法.

Topology Aware Data Aggregation Method for Wireless Sensor Networks

We propose a Topology Aware Data Aggregation (TADA) method to address the problems of energy consumption and reconstruction errors in the data aggregation of a wireless sensor network. Firstly, a data stream including network initialization, data framing, and data preprocessing is constructed to form the communication process of the wireless sensor network. Secondly, a measurement matrix is built to decompose the data into multiple paths for forwarding and then the vector allocation of the whole network is carried out. Finally, a data aggregation algorithm based on a balanced minimum spanning tree is proposed. Experiments show that the proposed method is lower than other compressed sensing methods in the energy consumption of data aggregation and the error rate of data reconstruction.