JSL: Joint time synchronization and localization design with stratification compensation in mobile underwater sensor networks

Time synchronization and localization are basic services in a sensor network system. Although they often depend on each other, they are usually tackled independently. In this work, we investigate time synchronization and localization problems in underwater sensor networks. We propose a joint solution for localization and time synchronization, in which the stratification effect of underwater medium is considered, so that the bias in the range estimates caused by assuming sound waves travel in straight lines in water environments is compensated. By combining time synchronization and localization, the accuracy of both are improved jointly. Additionally, an advanced tracking algorithm IMM (interactive multiple model) is adopted to improve the accuracy of localization in the mobile case. Furthermore, by combining both services, the number of required exchanged messages is significantly reduced, which saves on energy consumption. Simulation results show that both services are improved and benefit from this scheme.

[1]  B. R. Badrinath,et al.  Ad hoc positioning system (APS) , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[2]  Kee Chaing Chua,et al.  MU-Sync: a time synchronization protocol for underwater mobile networks , 2008, Underwater Networks.

[3]  Shengli Zhou,et al.  Localization for Large-Scale Underwater Sensor Networks , 2007, Networking.

[4]  Shengli Zhou,et al.  IEEE TRANSACTIONS ON SIGNAL PROCESSING (TO APPEAR) 1 Stratification Effect Compensation for Improved Underwater Acoustic Ranging , 2022 .

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

[6]  Jun Liu,et al.  Mobi-Sync: Efficient Time Synchronization for Mobile Underwater Sensor Networks , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[7]  A. Novikov,et al.  Chaotic Behavior and Pollution Dispersion Characteristics in Engineered Tidal Embayments: A Numerical Investigation 1 , 2007 .

[8]  Thiagalingam Kirubarajan,et al.  Estimation with Applications to Tracking and Navigation , 2001 .

[9]  Curt Schurgers,et al.  Motion-aware self-localization for underwater networks , 2008, Underwater Networks.

[10]  Michael Zuba,et al.  TSMU: A Time Synchronization Scheme for Mobile Underwater Sensor Networks , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[11]  Hermann Kopetz,et al.  Clock Synchronization in Distributed Real-Time Systems , 1987, IEEE Transactions on Computers.

[12]  T. Austin,et al.  PARADIGM: a buoy-based system for AUV navigation and tracking , 2000, OCEANS 2000 MTS/IEEE Conference and Exhibition. Conference Proceedings (Cat. No.00CH37158).

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

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

[15]  Matthew J. Hahn Undersea navigation via a distributed acoustic communications network , 2005 .

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

[17]  Liang Cheng,et al.  A Distributed Protocol for Multi-hop Underwater Robot Positioning , 2004, 2004 IEEE International Conference on Robotics and Biomimetics.

[18]  Wenyu Liu,et al.  Localization and Synchronization for 3D Underwater Acoustic Sensor Networks , 2007, UIC.

[19]  Jun-Hong Cui,et al.  DBR: Depth-Based Routing for Underwater Sensor Networks , 2008, Networking.

[20]  Jiejun Kong,et al.  The challenges of building mobile underwater wireless networks for aquatic applications , 2006, IEEE Network.

[21]  Peng Xie,et al.  VBF: Vector-Based Forwarding Protocol for Underwater Sensor Networks , 2006, Networking.