Seminar: Spatial Sampling Design and Wireless Sensor Networks
Speaker: Zhengyuan Zhu, Associate Professor, Department of Statistics & Statistical Laboratory, College of Liberal Arts & Sciences, Iowa State University
Date: November 4, 2011
Time: 1:10 p.m.
Location: 3043 ECpE Building Addition
Abstract: Spatial sampling design problem has been studied by statisticians for a long time in different application areas such as agriculture, soil science, and ecology. Both probability based sampling such as simple random sampling and stratified random sampling and model based optimal spatial sampling approaches have been used in practice for different applications. Though many of the methodologies in spatial sampling design can be used to help design the sampling plan of wireless sensor network (WSN), WSN has some characteristics which is not present in a traditional network, such as the energy constraints and the communication constraints, which poses new challenges to statisticians. In this talk we will give a general discussion on the connection between classical spatial sampling design and the sampling design for WSN, and present some preliminary results on the optimal sampling design of a WSN for parameter estimation under energy and communication constraints.
Speaker bio: Zhengyuan Zhu is interested in optimal design for correlated observations, modeling of spatio-temporal processes, anomaly detection for correlated observations, long range dependent processes, and applications in environmental statistics, survey sampling, biostatistics, astrostatistics, and Internet traffic modeling. He received his Ph.D. in statistics from the University of Chicago in 2002 and had a previous appointment at the University of North Carolina at Chapel Hill.