一种WSN中基于局部数据的压缩感知算法

One Compressive Sensing Algorithm Based on Local Data in WSN

当前,无线传感器网络的研究中最突出的是传感器节点的能耗问题.已有的无线传感器网络中的数据传输方式不仅能量浪费严重,而且网络的整体能耗不平衡,因此根据无线传感器网络所传输数据的特点,将改进后的压缩感知算法应用于其中.该过程中,压缩感知思想的应用大大减少了无线传感器网络中的数据传输次数,并保证每个节点的传输次数相同,这样不仅减小了节点能量的消耗,还维持了整个网络的能耗平衡.

Currently,one of the most outstanding issues in Wireless Sensor Networks（WSN） is energy saving.The existing data transmission in WSN not only wastes lots of energy,but also makes the energy consumption of the whole network unbalanced.Based on the data transmission characteristics of WSN,an improved compressive censing（CS） algorithm is introduced here to WSN.Duing the process,the CS algorithm dramatically reduces the data transmission times and ensures the same transmission times for each sensor node in WSN.The CS algorithm reduces the energy consumption for each sensor node and keep the WSN＇s energy and more balanced.