Voronoi Tessellation based Haar Wavelet Data Compression for Sensor Networks

摘要：

we propose a distributed wavelet-based algorithm which can transform irregularly sample data using haar wavelet-based compression solutions in this paper. We consider the characteristics and location information of nodes in sensor networks, a new distributed data aggregation mode based on “area is used firstly. On the basis of these new models, a novel wavelet-based irregularly sample data compression and data transform model DDCM is proposed for sensor networks. Theoretical analyses and simulation results show that, the above new methods have the good ability of approximation, and can compress the data efficiently and can reduce the amount of data greatly, So, it can prolong the lifetime of the whole network to a greater degree.

关键词： Sensor networks Voronoi tessellation DDCM Data compression

作者: Tan Minsheng XIE ZhiJun Wang Lei

作者单位: School of Computer Science&Technology,Nanhua University,Hengyang,,P.R.China College of Information,Renmin University of China,Beijing 100872,China College of Software,Hunan University,Changsha 410082

会议类型: 国际会议

会议名称: 第二届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 武汉

会议语种:英文

在线出版日期: 2006-09-01（万方平台首次上网日期，不代表论文的发表时间）