节能的基于EM分簇与压缩感知的数据收集方法

Energy-efficient Data Gathering Scheme Based on EM Clustering and Compressed Sensing

在稠密无线传感网进行数据收集的过程中,网络寿命的延长一直是人们重点关注的问题。为了减少能耗延长网络寿命,从考虑网络数据传输距离和数据传输量两个角度,提出一种基于EM分簇与压缩感知相结合的数据收集方法。本文在分簇之前从能耗角度对最优簇数进行了分析。仿真实验表明该方法能极大地减少数据收集能耗,从而延长无线传感网络寿命。

In the process of data collection in dense wireless sensor network, extending the nelwork lifetime is the focused problem. In order to reduce energy consumption and prolong the network lifetim e, a data collection scheme based on EM clustering and compressed sensing is put forward. This scheme considers the network data transmis-sion distance and data transmission quantity. Before clustering, the optimal number of clusters is analyzed consider-ing the energy consumption. Experimental results show that the scheme can greatly reduce the energy consumption of data collection and extend the lifetime of the wireless sensor network.