Publication detail

Scheduling of Multi-Function Sensor

KULMON, P. SUJA, J. BENKO, M.

English title

Scheduling of Multi-Function Sensor

Type

journal article - other

Language

en

Original abstract

Multifunctional passive surveillance systems must implement several functions at the same time. However, due to hardware limitations, it is not possible to fulfill all of them. In this work, we define a complex model of a multifunctional sensor using multicriteria integer nonlinear optimization and analyze non-dominated optimal solutions on simulated data. We transform the task using the scalarization ϵ-constraint method and examine the effect of the ϵ parameter on the feasibility. Finally, we will compare two different applications of the rolling horizon, online optimization technique, to the defined problem of a multifunctional surveillance system.

English abstract

Multifunctional passive surveillance systems must implement several functions at the same time. However, due to hardware limitations, it is not possible to fulfill all of them. In this work, we define a complex model of a multifunctional sensor using multicriteria integer nonlinear optimization and analyze non-dominated optimal solutions on simulated data. We transform the task using the scalarization ϵ-constraint method and examine the effect of the ϵ parameter on the feasibility. Finally, we will compare two different applications of the rolling horizon, online optimization technique, to the defined problem of a multifunctional surveillance system.

Keywords in English

Sensor scheduling, multicriterial optimization, epsilon constraint method, sequential estimation DTMC stationary distribution, rolling horizon

Released

21.11.2023

Publisher

IEEE

ISSN

2832-7357

Volume

1

Number

1

Pages from–to

729–739

Pages count

11

BIBTEX


@article{BUT187799,
  author="Pavel {Kulmon} and Pavel {Kulmon} and Jerguš {Suja} and Matej {Benko},
  title="Scheduling of Multi-Function Sensor",
  year="2023",
  volume="1",
  number="1",
  month="November",
  pages="729--739",
  publisher="IEEE",
  issn="2832-7357"
}