Issue No. 12 - December (2009 vol. 8)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TMC.2009.80
Zexin Lu , National University of Defense Technology, Changsha
Xiuzhen Cheng , The George Washington University, Washington
Liran Ma , Michigan Technological University, Houghton
Wei Cheng , The George Washington University, Washington
Xicheng Lu , National University of Defense Technology, Changsha
Amin Y. Teymorian , The George Washington University, Washington
We transform the 3D underwater sensor network (USN) localization problem into its 2D counterpart by employing sensor depth information and a simple projection technique. We first prove that a nondegenerative projection preserves network localizability. We then prove that given a network and a constant k, all of the geometric k-lateration localization methods are equivalent. Based on these results, we design a purely distributed bilateration localization scheme for 3D USNs termed as Underwater Sensor Positioning (USP). Through extensive simulations, we show that USP has the following nice features: 1) improved localization capabilities over existing 3D methods, 2) low storage and computation requirements, 3) predictable and balanced communication overhead, and 4) robustness to errors from the underwater environment.
Underwater sensor networks, projection, localizability study, 3D localization.
Zexin Lu, Xiuzhen Cheng, Liran Ma, Wei Cheng, Xicheng Lu, Amin Y. Teymorian, "3D Underwater Sensor Network Localization", IEEE Transactions on Mobile Computing, vol. 8, no. , pp. 1610-1621, December 2009, doi:10.1109/TMC.2009.80