Efficient k-Dominant Skyline Processing in Wireless Sensor Networks
Wireless sensor network amalgamates sensing, computing and communication technologies. Because of the energy limitation of sensor nodes, how to manage the data collected by the sensor nodes energy-efficiently becomes the focus of the research recently. As the main mean of multidecision and data mining, skyline query plays a more and more important role in sensing applications. However, as the increase of data dimensionality, skyline query results extend greatly, which not only obstacles the decision, but also costs most of the energy of the nodes. In this article, k-dominant skyline query is researched deeply to deal with the above problem. An energy-efficient k-dominant skyline query algorithm (EKS) is proposed to calculate the k-dominant skyline of the wireless sensor network. The experimental results show that EKS could reduce the communication cost of the sensor network, while it calculates the k-dominant skyline, therefore, prolong the life-span of it.
Jianmei Huang Junchang Xin Guoren Wang Miao Li
Key Laboratory of Medical Image Computing (Northeastern University), Ministry of Education College of Information Science & Engineering, Northeastern University, P. R. China
国际会议
2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)
沈阳
英文
1-6
2009-08-12（万方平台首次上网日期，不代表论文的发表时间）