A New Integration Method for Reliable Abstract Sensors
Data integration is a crucial issue in wireless sensor networks. This paper proposes a new Fault-Tolerant integration method—Overlap Algorithm. We additionally simplify Marzullo’s algorithm to adapt to sensor nodes. Those two methods are used to combine several interval estimates into a reliable interval output even when some of input are faulty. We simulate those two algorithms in Matlab respectively, compare their performance. The experimental results show that the width of output interval produced by Overlap Algorithm is less than that of Marzullo’s algorithm, thus it is more accurate.
Reliable abstract sensor Marzullo Algorithm Data integration
Neng Luo Hongpeng Wang
Department of Computer Science Harbin Institute of Technology Shenzhen Graduate School Shenzhen, Guangdong, 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
1-4
2009-08-12（万方平台首次上网日期，不代表论文的发表时间）