Energy-constrained informative routing for AUVs

Nikolaos Tsiogkas; Valerio De Carolis; David Michael Lane

doi:10.1109/OCEANSAP.2016.7485386

Energy-constrained informative routing for AUVs

Nikolaos Tsiogkas, Valerio De Carolis, David Michael Lane

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

Autonomous underwater vehicles have proven their roles as useful tools for scientific exploration and data gathering. The current state of the art in commercial vehicles involves a statical mission planning phase which does not take into account any energy or time limits. This work proposes the use of a mixed integer quadratic programming solution that maximises the utility of data gathering missions under time or energy constraints. This method is compared against other constrained and unconstrained mixed integer linear programming methods. Results confirm that the method is producing better quality paths in the expense of higher computation time.

Original language	English
Title of host publication	OCEANS 2016 - Shanghai
Publisher	IEEE
ISBN (Electronic)	9781467397247
DOIs	https://doi.org/10.1109/OCEANSAP.2016.7485386
Publication status	Published - 9 Jun 2016
Event	OCEANS 2016 - Shanghhai, China Duration: 10 Apr 2016 → 13 Apr 2016

Conference

Conference	OCEANS 2016
Country/Territory	China
City	Shanghhai
Period	10/04/16 → 13/04/16

ASJC Scopus subject areas

Oceanography
Automotive Engineering

Access to Document

10.1109/OCEANSAP.2016.7485386

Cite this

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title = "Energy-constrained informative routing for AUVs",

abstract = "Autonomous underwater vehicles have proven their roles as useful tools for scientific exploration and data gathering. The current state of the art in commercial vehicles involves a statical mission planning phase which does not take into account any energy or time limits. This work proposes the use of a mixed integer quadratic programming solution that maximises the utility of data gathering missions under time or energy constraints. This method is compared against other constrained and unconstrained mixed integer linear programming methods. Results confirm that the method is producing better quality paths in the expense of higher computation time.",

author = "Nikolaos Tsiogkas and {De Carolis}, Valerio and Lane, {David Michael}",

year = "2016",

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AU - Tsiogkas, Nikolaos

AU - De Carolis, Valerio

AU - Lane, David Michael

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N2 - Autonomous underwater vehicles have proven their roles as useful tools for scientific exploration and data gathering. The current state of the art in commercial vehicles involves a statical mission planning phase which does not take into account any energy or time limits. This work proposes the use of a mixed integer quadratic programming solution that maximises the utility of data gathering missions under time or energy constraints. This method is compared against other constrained and unconstrained mixed integer linear programming methods. Results confirm that the method is producing better quality paths in the expense of higher computation time.

AB - Autonomous underwater vehicles have proven their roles as useful tools for scientific exploration and data gathering. The current state of the art in commercial vehicles involves a statical mission planning phase which does not take into account any energy or time limits. This work proposes the use of a mixed integer quadratic programming solution that maximises the utility of data gathering missions under time or energy constraints. This method is compared against other constrained and unconstrained mixed integer linear programming methods. Results confirm that the method is producing better quality paths in the expense of higher computation time.

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DO - 10.1109/OCEANSAP.2016.7485386

M3 - Conference contribution

AN - SCOPUS:84978239669

BT - OCEANS 2016 - Shanghai

PB - IEEE

T2 - OCEANS 2016

Y2 - 10 April 2016 through 13 April 2016

ER -

Energy-constrained informative routing for AUVs

Abstract

Conference

ASJC Scopus subject areas

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