Information based distributed control for biochemical source detection and localization

  • Panos Tzanos
  • , Miloš Žefran
  • , Arye Nehorai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The paper proposes several improvements on the Direction of Gradient (DOG) algorithm proposed in [1] for detecting and localizing a biochemical source with moving sensors. In particular, we show that the DOG algorithm can be turned into a distributed control scheme for a mobile sensing network, and that the maximum likelihood estimation proposed in the original algorithm can be replaced with more computationally efficient numerical procedures. Simulations on a single sensor and on a group of mobile sensors are provided that show that the proposed modifications simplify the original algorithm and improve its performance.

Original languageEnglish
Title of host publicationProceedings of the 2005 IEEE International Conference on Robotics and Automation
Pages4457-4462
Number of pages6
DOIs
StatePublished - 2005
Event2005 IEEE International Conference on Robotics and Automation - Barcelona, Spain
Duration: Apr 18 2005Apr 22 2005

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
Volume2005
ISSN (Print)1050-4729

Conference

Conference2005 IEEE International Conference on Robotics and Automation
Country/TerritorySpain
CityBarcelona
Period04/18/0504/22/05

Keywords

  • Biochemical source localization
  • Cramér-Rao bound (CRB)
  • Mobile sensor networks
  • Robot coordination algorithms

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