The Meandering Current Mobility Model and its Impact on Underwater Mobile Sensor Networks

Underwater mobile acoustic sensor networks are promising tools for the exploration of the oceans. These networks require new robust solutions for fundamental issues such as: localization service for data tagging and networking protocols for communication. All these tasks are closely related with connectivity, coverage and deployment of the network. A realistic mobility model that can capture the physical movement of the sensor nodes with ocean currents gives better understanding on the above problems. In this paper, we propose a novel physically-inspired mobility model which is representative of underwater environments. We study how the model affects a range-based localization protocol, and its impact on the coverage and connectivity of the network under different deployment scenarios.

[1]  Kee Chaing Chua,et al.  Aloha-Based MAC Protocols with Collision Avoidance for Underwater Acoustic Networks , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

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

[3]  E. Chassignet,et al.  Generalized Vertical Coordinates for Eddy-Resolving Global and Coastal Ocean Forecasts , 2006 .

[4]  Dario Pompili,et al.  Three-dimensional routing in underwater acoustic sensor networks , 2005, PE-WASUN '05.

[5]  Curt Schurgers,et al.  Sensor networks of freely drifting autonomous underwater explorers , 2006, WUWNet '06.

[6]  Donald F. Towsley,et al.  Mobility improves coverage of sensor networks , 2005, MobiHoc '05.

[7]  Christian Bettstetter Mobility modeling, connectivity, and adaptive clustering in ad hoc networks , 2004 .

[8]  Jim Kurose,et al.  A survey of practical issues in underwater networks , 2007 .

[9]  S. Wiggins,et al.  Lagrangian Transport in Geophysical Jets and Waves: The Dynamical Systems Approach , 2006 .

[10]  Vinton G. Cerf,et al.  Delay-tolerant networking: an approach to interplanetary Internet , 2003, IEEE Commun. Mag..

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

[12]  Jon Turton,et al.  Argo –Sounding the oceans , 2006 .

[13]  Antonello Provenzale,et al.  TRANSPORT BY COHERENT BAROTROPIC VORTICES , 1999 .

[14]  Sumit Roy,et al.  Wide area ocean networks: architecture and system design considerations , 2006, WUWNet '06.

[15]  Winston Khoon Guan Seah,et al.  Localization in underwater sensor networks: survey and challenges , 2006, Underwater Networks.

[16]  Russ E. Davis,et al.  LAGRANGIAN OCEAN STUDIES , 1991 .

[17]  Jiejun Kong,et al.  Building underwater ad-hoc networks and sensor networks for large scale real-time aquatic applications , 2005, MILCOM 2005 - 2005 IEEE Military Communications Conference.

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

[19]  Mingyan Liu,et al.  Random waypoint considered harmful , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[20]  Peter I. Corke,et al.  Data collection, storage, and retrieval with an underwater sensor network , 2005, SenSys '05.

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

[22]  Russ E. Davis,et al.  Drifter observations of coastal surface currents during CODE: The method and descriptive view , 1985 .

[23]  Gilles Burel,et al.  ON SPATIAL UNCERTAINTY IN A SURFACE LONG BASELINE POSITIONING SYSTEM , 2000 .

[24]  Milica Stojanovic,et al.  Acoustic (Underwater) Communications , 2003 .

[25]  Kevin R. Fall,et al.  A delay-tolerant network architecture for challenged internets , 2003, SIGCOMM '03.

[26]  Vedat Coskun,et al.  Wireless sensor networks for underwater survelliance systems , 2006, Ad Hoc Networks.

[27]  M. Stojanovic,et al.  Underwater acoustic networks , 2000, IEEE Journal of Oceanic Engineering.

[28]  Mario Gerla,et al.  Localization with Dive'N'Rise (DNR) beacons for underwater acoustic sensor networks , 2007, Underwater Networks.

[29]  R. Samelson FLuid exchange across a meandering jet , 1992 .

[30]  P. Kumaraswamy,et al.  Challenges and Design of Mac Protocol for Underwater Acoustic Sensor Networks , 2006, 2006 4th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks.

[31]  Joseph Pedlosky,et al.  Ocean Circulation Theory , 1996 .

[32]  Charalampos Tsimenidis,et al.  Node Discovery Protocol and Localization for Distributed Underwater Acoustic Networks , 2006, Advanced Int'l Conference on Telecommunications and Int'l Conference on Internet and Web Applications and Services (AICT-ICIW'06).

[33]  A. Bower A Simple Kinematic Mechanism for Mixing Fluid Parcels across a Meandering Jet , 1991 .

[34]  A. Vulpiani,et al.  Mixing in a Meandering Jet: A Markovian Approximation , 1998, chao-dyn/9801027.

[35]  J. Ottino The Kinematics of Mixing: Stretching, Chaos, and Transport , 1989 .

[36]  D. Dorson,et al.  The RAFOS System , 1986 .

[37]  Hannes Hartenstein,et al.  Stochastic Properties of the Random Waypoint Mobility Model , 2004, Wirel. Networks.

[38]  A. L. Sybrandy,et al.  GPS–Cellular Drifter Technology for Coastal Ocean Observing Systems , 2005 .

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