Adaptive decentralized control of mobile underwater sensor networks and robots for modeling underwater phenomena

Carrick Detweiler, Sreeja Banerjee, Marek Doniec, Mingshun Jiang, Francesco Peri, Robert F. Chen, Daniela Rus

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)113-148
Number of pages36
JournalJournal of Sensor and Actuator Networks
Volume3
Issue number2
DOIs
StatePublished - Jun 1 2014

Keywords

  • Adaptive sensing
  • Depth adjustment
  • Ocean
  • Sensing
  • Sensor network

ASJC Scopus subject areas

  • Instrumentation
  • Computer Networks and Communications
  • Control and Optimization

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