Adaptive decentralized control of underwater sensor networks for modeling underwater phenomena

Carrick Detweiler, Marek Doniec, Mingshun Jiang, Mac Schwager, Robert Chen, Daniela Rus

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations

Abstract

Understanding the dynamics of bodies of water and their impact on the global environment requires sensing information over the full volume of water. We develop a gradientbased 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. We implement the controller on an underwater sensor network capable of adjusting their depths. Through simulations and experiments, we verify the functionality and performance of the system and algorithm.

Original languageEnglish (US)
Title of host publicationSenSys 2010 - Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
PublisherAssociation for Computing Machinery
Pages253-266
Number of pages14
ISBN (Print)9781450303446
DOIs
StatePublished - 2010
Event8th ACM International Conference on Embedded Networked Sensor Systems, SenSys 2010 - Zurich, Switzerland
Duration: Nov 3 2010Nov 5 2010

Publication series

NameSenSys 2010 - Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems

Conference

Conference8th ACM International Conference on Embedded Networked Sensor Systems, SenSys 2010
Country/TerritorySwitzerland
CityZurich
Period11/3/1011/5/10

Keywords

  • Depth adjustment
  • Ocean
  • Sensing
  • Sensor network

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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