J. Sens. Actuator Netw. 2014, 3(2), 113-149; https://doi.org/10.3390/jsan3020113
Adaptive Decentralized Control of Mobile Underwater Sensor Networks and Robots for Modeling Underwater Phenomena
1
Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588, USA
2
CSAIL, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
3
Harbor Branch Oceanographic Institute, Florida Atlantic University, Ft. Pierce, FL 34946, USA
4
School for the Environment, University of Massachusetts Boston, Boston, MA 02125, USA
*
Author to whom correspondence should be addressed.
Received: 2 April 2014 / Revised: 6 May 2014 / Accepted: 7 May 2014 / Published: 22 May 2014
(This article belongs to the Special Issue Underwater Sensor Networks)
Abstract
Understanding the dynamics of bodies of water and their impact on the global environment requires sensing information over the full volume of water. In this article, we develop a gradient-based decentralized controller that dynamically adjusts the depth of a network of underwater sensors to optimize sensing for computing maximally detailed volumetric models. We prove that the controller converges to a local minimum and show how the controller can be extended to work with hybrid robot and sensor network systems. We implement the controller on an underwater sensor network with depth adjustment capabilities. Through simulations and in-situ experiments, we verify the functionality and performance of the system and algorithm. View Full-TextKeywords:
depth adjustment; adaptive sensing; ocean; sensing; sensor network
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Detweiler, C.; Banerjee, S.; Doniec, M.; Jiang, M.; Peri, F.; Chen, R.F.; Rus, D. Adaptive Decentralized Control of Mobile Underwater Sensor Networks and Robots for Modeling Underwater Phenomena. J. Sens. Actuator Netw. 2014, 3, 113-149.
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J. Sens. Actuator Netw.
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