UP	Paper 802	US-T-M	DOWN
Optimal Cluster Size for Underwater Acoustic Sensor Networks
Liang,Qilian		University of Texas at Arlington
Zhao,LIang		University of Texas at Arlington
In this paper, we are concerned with the optimal cluster size in Underwater Acoustic Sensor Networks. Due to the sparse deployment and channel property, the clustering characteristics of Underwater Acoustic Sensor Networks are different from those of terrestrial sensor networks. We show that the optimal cluster size is mainly determined by the working frequency of the acoustic transmission. In addition, the data aggregation also plays an important role in determining the optimal cluster size.
Qilian Liang received the B.S. degree from Wuhan University, China, in 1993, M.S. degree from Beijing University of Posts and Telecommunications in 1996, and Ph.D degree from University of Southern California (USC) in May 2000, all in Electrical Engineering. Dr. Liang joined the faculty of the University of Texas at Arlington in August 2002. Prior to that he was a Member of Technical Staff in Hughes Network Systems Inc at San Diego, California. His research interests include Sensor networks (energy efficiency, cross layer design, optimal sensor deployment, etc), wireless communications, wireless networks, communication system and communication theory, signal processing for communications, fuzzy logic systems and applications, multimedia network traffic modeling and classification, collaborative and distributed signal processing. Dr. Liang has published more than 90 journal and conference papers, 4 book chapters, and has 6 U.S. patents pending. He received 2002 IEEE Transactions on Fuzzy Systems Outstanding Paper Award, 2003 U.S. Office of Naval Research (ONR) Young Investigator Award, and 2005 UTA College of Engineering Outstanding Young Faculty Award.