基于压缩感知的无线传感器网络数据融合算法

无线传感器网络中存在大量的数据冗余，数据融合技术通过对采样数据进行压缩，消除冗余，有效的减少了节点发送的数据量，延长传感器网络的寿命．提出了压缩感知与数据转发相结合的数据融合算法，在网络采样数据收集的过程中根据节点的子节点个数选择利用压缩感知对数据进行压缩还是直接对数据进行数据转发．仿真结果表明，和基于压缩感知的数据融合算法相比，数据转发与压缩感知相结合的数据融合算法，有效地在平衡节点间负载的同时减少节点的发送量．

Data Fusion Based on Compressed Sensing in Wireless Sensor Networks

There are a lot of data redundancy in wireless sensor networks. By compressing the original sampling data, the data fusion technology eliminates redundancies in data, reduces the amount of data sent by nodes effectively and prolongs lifetime of sensor networks. This paper proposed a data fusion algorithm that combined data forwarding and compressed sensing. During the process of collecting sampling data in sensor networks, the algorithm selects using compressed sensing to compress original sampling data or simply storing and forwarding sampling data according to the amount of nodes' child nodes. Simulations indicate that compared with the data fusion algorithm based on compressed sensing, the data fusion algorithm that combined data forwarding and compressed sensing achieved both network load balance and data compression effectively.