Design and Evaluation of a New Localization Scheme for Underwater Acoustic Sensor Networks

Underwater acoustic sensor networks are quite different from terrestrial wireless sensor networks. Localization for underwater applications is different due to the bandwidth limited acoustic communication, sparsely distributed network deployment, and more expensive and powerful sensor nodes. In this paper, we propose a new scheme to achieve better localization accuracy for underwater acoustic sensor networks. Instead of using the commonly adopted circle-based event detection and least squares algorithm based location estimation, the proposed scheme utilizes the hyperbola-based approach for event localization and a normal distribution for estimation error modeling and calibration. Our analysis and simulation results indicate that the performance of the proposed scheme is clearly better than those from the least squares location estimation based localization schemes.

[1]  Ha Yoon Song,et al.  Multilevel localization for Mobile Sensor Network platforms , 2008, 2008 International Multiconference on Computer Science and Information Technology.

[2]  Andreas Willig,et al.  Protocols and Architectures for Wireless Sensor Networks , 2005 .

[3]  Brian Neil Levine,et al.  A survey of practical issues in underwater networks , 2006, MOCO.

[4]  Dario Pompili,et al.  Underwater acoustic sensor networks: research challenges , 2005, Ad Hoc Networks.

[5]  Weidong Wang,et al.  RSS-based Monte Carlo localisation for mobile sensor networks , 2008, IET Commun..

[6]  Peter King,et al.  An Improved Communications Model for Underwater Sensor Networks , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[7]  Hai Jiang,et al.  Ranging error-tolerable localization in wireless sensor networks with inaccurately positioned anchor nodes , 2009, Wirel. Commun. Mob. Comput..

[8]  Yuan Li,et al.  Research challenges and applications for underwater sensor networking , 2006, IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006..

[9]  Gaetano Borriello,et al.  A Survey and Taxonomy of Location Systems for Ubiquitous Computing , 2001 .

[10]  Deborah Estrin,et al.  Proceedings of the 5th Symposium on Operating Systems Design and Implementation Fine-grained Network Time Synchronization Using Reference Broadcasts , 2022 .

[11]  Lixia Zhang,et al.  Recursive position estimation in sensor networks , 2001, Proceedings Ninth International Conference on Network Protocols. ICNP 2001.

[12]  Naitong Zhang,et al.  Ranging error-tolerable localization in wireless sensor networks with inaccurately positioned anchor nodes , 2009 .

[13]  Andy Hopper,et al.  A new location technique for the active office , 1997, IEEE Wirel. Commun..

[14]  Krishna M. Sivalingam,et al.  Localization Error Evaluation in Heterogeneous Sensor Networks , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[15]  Koen Langendoen,et al.  Distributed localization in wireless sensor networks: a quantitative compariso , 2003, Comput. Networks.

[16]  Xiuzhen Cheng,et al.  Silent Positioning in Underwater Acoustic Sensor Networks , 2008, IEEE Transactions on Vehicular Technology.

[17]  John S. Heidemann,et al.  Time Synchronization for High Latency Acoustic Networks , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[18]  Hongbin Zha,et al.  Coarse-to-fine vision-based localization by indexing scale-Invariant features , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[19]  Guangjie Han,et al.  Reference Node Selection Algorithm Based on Trilateration and Performance Analysis in Indoor Sensor Networks , 2007, 2007 IEEE International Conference on Intelligent Computer Communication and Processing.

[20]  W. Kuperman,et al.  Fundamentals of Ocean Acoustics , 2011 .