Data Aggregation Algorithm for Wireless Sensor Network Based on Time Prediction

摘要：

　　In wireless sensor networks,sensor nodes are often deployed intensively within the sensing area in order to achieve effective monitoring,resulting in a high degree of correlation between them.There is a certain variation rule between node acquisition data and time.The current time correlation will result in an abundance of redundant data within the sensing area,so eliminating data redundancy is the fundamental way to save network energy consumption.In this paper,a data fusion algorithm FTDA based on the time prediction model is proposed in view of the problems of scalability of the prediction model and the ability to proactively identify data redundancy.The simulation results show that the algorithm can extend the network lifetime and save energy consumption.

关键词： wireless sensor networks data aggregation time prediction

作者: Mingxin Yang

作者单位: College of Economics Management,Hebei University of Science and Technology,Shijiazhuang,China

会议类型: 国际会议

会议名称: 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference(ITOEC2017)(2017 IEEE 第3届信息技术与机电一体化工程国际学术会议)

会议地点: 重庆

会议语种:英文

页码: 863-867

在线出版日期: 2017-10-03（万方平台首次上网日期，不代表论文的发表时间）