Studies on the Data Fusion within Wireless Sensor Network (WSN) Based on Adaptive Weighting Algorithm

摘要：

Data fusion technology serves as one of the key techniques in WSN. In this paper, a novel data fusion algorithm based on the adaptive weighting algorithm was proposed. It can be used to calculate respective weighting coefficients with data measured by sensors without prior knowledge of sensor nodes and can timely regulate the influence of each sensor on final data fusion. According to the experiment and test, the accuracy and fault tolerance of the proposed algorithm had been validated by Matlab simulation.

关键词： component adaptive weighting algorithm wireless sensor network (WSN) data fusion matlab simulation

作者: Pengjun Mao Jie Ding Zuowei Li Zhaomei Qiu

作者单位: College of Vehicle and Power Engineering Henan University of Science and Technology Luoyang, China

会议类型: 国际会议

会议名称: The 2012 International Conference of Agricultural Engineering and Food Engineering(2012年国际农业工程与食品工程学术会议 ICAE 2012)

会议地点: 哈尔滨

会议语种:英文

页码: 495-498

在线出版日期: 2012-06-16（万方平台首次上网日期，不代表论文的发表时间）