Abstract: Considering remainder power, communication consuming, and IP address index of Wireless Sensor Network(WSN) nodes, this paper designs a clustering algorithm which reduces total transmission within a WSN. Aimed to better measurement of WSN, an improved data fusion algorithm is designed. The algorithm includes two major steps within a node-cluster: sensor calibration and data fusion. Simulation of the algorithm with TOSSIM shows good effect of the algorithm.

Key words: Wireless Sensor Network(WSN), data fusion, clustering algorithm

摘要： 根据节点剩余能量、通信消耗量和节点IP，设计无线传感器节点分簇算法，减少了无线传感器网络的数据传输总量。分析对以分簇为基础的簇内数据的融合算法误差成因，提出先进行簇内传感器测量修正、再进行簇内传感器数据融合的改进算法。通过TOSSIM仿真平台的实验，改进后的簇内数据融合算法测量误差明显减少。

关键词: 无线传感器网络, 数据融合, 分簇算法

CLC Number: 

• TP393