Efficient localization for large-scale underwater sensor networks

Authors:
Zhong Zhou;Jun-Hong Cui;Shengli Zhou
Affiliations:
Department of Computer Science and Engineering, The University of Connecticut, Storrs, CT 06269, USA;Department of Computer Science and Engineering, The University of Connecticut, Storrs, CT 06269, USA;Department of Electrical and Computer Engineering, The University of Connecticut, Storrs, CT 06269, USA
Venue:
Ad Hoc Networks
Year:
2010

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Abstract

In this paper, we study the localization problem in large-scale underwater sensor networks. The adverse aqueous environments, the node mobility, and the large network scale all pose new challenges, and most current localization schemes are not applicable. We propose a hierarchical approach which divides the whole localization process into two sub-processes: anchor node localization and ordinary node localization. Many existing techniques can be used in the former. For the ordinary node localization process, we propose a distributed localization scheme which novelly integrates a 3-dimensional Euclidean distance estimation method with a recursive location estimation method. Simulation results show that our proposed solution can achieve high localization coverage with relatively small localization error and low communication overhead in large-scale 3-dimensional underwater sensor networks.