Autonomous Depth Adjustment for Underwater Sensor Networks: Design and Applications

To fully understand the ocean environment requires sensing the full water column. Utilizing a depth adjustment system on an underwater sensor network provides this while also improving global sensing and communications. This paper presents a depth adjustment system for waters up to 50 m deep that connects to the aquanode sensor network nodes. We performed experiments characterizing and demonstrating the functionality of the depth adjustment system. We discuss the application of this device in improving acoustic communication and also verify the functionality of a decentralized depth adjustment algorithm that optimizes the placement of the nodes for collecting sensing data.

[1]  Robert S. H. Istepanian,et al.  The use of underwater acoustic biotelemetry for monitoring the ECG of a swimming patient , 1995, Proceedings of the First Regional Conference, IEEE Engineering in Medicine and Biology Society and 14th Conference of the Biomedical Engineering Society of India. An International Meet.

[2]  Paul Hursky,et al.  Effects of ocean thermocline variability on noncoherent underwater acoustic communications. , 2007, The Journal of the Acoustical Society of America.

[3]  Naomi Ehrich Leonard,et al.  Collective Motion, Sensor Networks, and Ocean Sampling , 2007, Proceedings of the IEEE.

[4]  K. Atallah,et al.  Servo Control of Magnetic Gears , 2012, IEEE/ASME Transactions on Mechatronics.

[5]  John J. Leonard,et al.  Passive Mobile Robot Localization within a Fixed Beacon Field , 2006, WAFR.

[6]  Andreas Krause,et al.  Near-optimal sensor placements in Gaussian processes , 2005, ICML.

[7]  N.M. Patrikalakis,et al.  Path Planning of Autonomous Underwater Vehicles for Adaptive Sampling Using Mixed Integer Linear Programming , 2008, IEEE Journal of Oceanic Engineering.

[8]  Carl Oberg,et al.  A small submarine robot for experiments in underwater sensor networks , 2004 .

[9]  J. Proakis,et al.  Performance of high‐rate adaptive equalization on a shallow water acoustic channel , 1996 .

[10]  Maurice Queyranne,et al.  An Exact Algorithm for Maximum Entropy Sampling , 1995, Oper. Res..

[11]  Ian F. Akyildiz,et al.  State of the art in protocol research for underwater acoustic sensor networks , 2006, MOCO.

[12]  Mac Schwager,et al.  Optimal coverage for multiple hovering robots with downward facing cameras , 2009, 2009 IEEE International Conference on Robotics and Automation.

[13]  Robert F. Chen,et al.  Adaptive decentralized control of underwater sensor networks for modeling underwater phenomena , 2010, SenSys '10.

[14]  P.R. Pagilla,et al.  A Decentralized Model Reference Adaptive Controller for Large-Scale Systems , 2007, IEEE/ASME Transactions on Mechatronics.

[15]  D. Rus,et al.  An Underwater Sensor Network with Dual Communications, Sensing, and Mobility , 2007, OCEANS 2007 - Europe.

[16]  Meng Zhou,et al.  Influences of the Gulf of Maine intrusion on the Massachusetts Bay spring bloom: A comparison between 1998 and 2000 , 2007 .

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

[18]  Kemal Akkaya,et al.  Self-deployment of sensors for maximized coverage in underwater acoustic sensor networks , 2009, Comput. Commun..

[19]  Dario Pompili,et al.  Routing algorithms for delay-insensitive and delay-sensitive applications in underwater sensor networks , 2006, MobiCom '06.

[20]  Hong Zhang,et al.  Cooperative Decision-Making in Decentralized Multiple-Robot Systems: The Best-of-N Problem , 2009, IEEE/ASME Transactions on Mechatronics.

[21]  Carrick Detweiler,et al.  AquaNodes: an underwater sensor network , 2007, Underwater Networks.

[22]  B.M. Howe,et al.  Sensor networks for cabled ocean observatories , 2004, Proceedings of the 2004 International Symposium on Underwater Technology (IEEE Cat. No.04EX869).

[23]  Naomi Ehrich Leonard,et al.  Cooperative Filters and Control for Cooperative Exploration , 2010, IEEE Transactions on Automatic Control.

[24]  Andreas Krause,et al.  Simultaneous Optimization of Sensor Placements and Balanced Schedules , 2011, IEEE Transactions on Automatic Control.

[25]  Dario Pompili,et al.  Challenges for efficient communication in underwater acoustic sensor networks , 2004, SIGBED.

[26]  James Preisig,et al.  Acoustic propagation considerations for underwater acoustic communications network development , 2006, Underwater Networks.

[27]  Patricia M. Glibert,et al.  Use of a real-time remote monitoring network (RTRM) and shipborne sampling to characterize a dinoflagellate bloom in the Neuse Estuary, North Carolina, USA , 2005 .

[28]  Carrick Detweiler,et al.  Autonomous depth adjustment for underwater sensor networks , 2010, WUWNet.

[29]  Andreas Krause,et al.  Simultaneous placement and scheduling of sensors , 2009, 2009 International Conference on Information Processing in Sensor Networks.

[30]  Leonard S. Joeris.  A HORIZONTAL SAMPLER FOR COLLECTION OF WATER SAMPLES NEAR THE BOTTTOM , 1964 .