3D Underwater Sensor Network Localization

Authors:
Amin Y. Teymorian;Wei Cheng;Liran Ma;Xiuzhen Cheng;Xicheng Lu;Zexin Lu
Affiliations:
The George Washington University, Washington;The George Washington University, Washington;Michigan Technological University, Houghton;The George Washington University, Washington;National University of Defense Technology, Changsha;National University of Defense Technology, Changsha
Venue:
IEEE Transactions on Mobile Computing
Year:
2009

Citing 0
Cited 9

Performance evaluation of distributed localization techniques for mobile underwater acoustic sensor networks

Ad Hoc Networks
Intelligent magnetic sensing system for low power WSN localization immersed in liquid-filled industrial containers

KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
Localization techniques for underwater acoustic sensor networks

IEEE Communications Magazine
An accurate and self-correcting localization algorithm for UWSN using anchor nodes of varying communication range

GPC'11 Proceedings of the 6th international conference on Advances in grid and pervasive computing
Real-time collaborative tracking for underwater networked systems

Proceedings of the Seventh ACM International Conference on Underwater Networks and Systems
Poster abstract: Range-based localization in sensor networks: localizability and accuracy

Proceedings of the 12th international conference on Information processing in sensor networks
Time-bounded essential localization for wireless sensor networks

IEEE/ACM Transactions on Networking (TON)
Localization for anchor-free underwater sensor networks

Computers and Electrical Engineering
A clock synchronization independent localization scheme for underwater wireless sensor networks

Proceedings of the Eighth ACM International Conference on Underwater Networks and Systems

Quantified Score

Hi-index	0.01

Visualization

Abstract

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.