Adaptive Decentralized Control of Mobile Underwater Sensor Networks and Robots for Modeling Underwater Phenomena

Authors

Carrick Detweiler, University of Nebraska-LincolnFollow
Sreeja Banerjee, University of Nebraska-LincolnFollow
Marek Doniec, Massachusetts Institute of TechnologyFollow
Mingshun Jiang, Florida Atlantic UniversityFollow
Francesco Peri, University of Massachusetts BostonFollow
Robert F. Chen, University of Massachusetts BostonFollow
Daniela Rus, Massachusetts Institute of TechnologyFollow

Document Type

Article

Date of this Version

2014

Citation

J. Sens. Actuator Netw. 2014, 3, 113-148; doi:10.3390/jsan3020113

Comments

Copyright © 2014, the authors. Licensee MDPI, Basel, Switzerland. Open access, Creative Commons Attribution license 4.0.

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.