多源通信网络全局信息融合方法仿真

Simulation of Global Information Fusion for Multi-Source Communication Networks

数据融合是多源通信网络中节省网络能量、去除数据冗余的一个重要途径。常规信息融合方法应用于多源通信网络时,当网络簇内节点较为稀疏时,网络簇首信息的传输量较大,融合后数据恢复率较低,存在网络延迟。提出了压缩感知与全局信息数据转发相结合的信息融合方法,依据网络节点的通信范围将簇划分为多个区域,各个节点依据自身所在位置选取通信方式向通信簇首传送全局信息,降低了全局信息融合时延。在多源通信网络采样全局信息收集过程中依据网络节点的子节点数量选取采用压缩感知对全局信息进行压缩还是直接对全局信息进行数据转发。实验结果表明,所提方法减少了网络节点的发送量,融合后的数据恢复率较高,且网络时延较低。

ABSTRACT：This article proposes an information fusion method combining compression perception and global infor- mation data forwarding. According to the communication range of network nodes, the cluster is divided into several regions. Each node selects communication mode according to its own location and sends the global information to the communication cluster head, which reduces the time delay of global information fusion. In the process of global infor- mation collection of multi-source communication network sampling, according to the number of sub-nodes of network nodes, the compressive sensing is determined to compress the global information. Simulation results show that the proposed method reduces the sending amount of network nodes and has high data recovery rate after fusion and low network delay.