4.6 Article

ABS-FishCount: An Agent-Based Simulator of Underwater Sensors for Measuring the Amount of Fish

Journal

SENSORS
Volume 17, Issue 11, Pages -

Publisher

MDPI
DOI: 10.3390/s17112606

Keywords

agent-based simulation; agent-based social simulation; multi-agent system; agent-oriented software engineering; underwater sensor; underwater sensor network; simulator software; fish measurement

Funding

  1. Spanish Ministry of Economy and Competitiveness [TIN2014-57028-R]
  2. program Estancias de movilidad en el extranjero Jose Castillejo para jovenes doctores - Spanish Ministry of Education, Culture and Sport [CAS17/00005]
  3. Universidad de Zaragoza
  4. Fundacion Bancaria Ibercaja
  5. Fundacion CAI in the Programa Ibercaja-CAI de Estancias de Investigacion [IT24/16]
  6. University of Zaragoza
  7. Foundation Ibercaja [JIUZ-2017-TEC-03]
  8. Organismo Autonomo Programas Educativos Europeos [2013-1-CZ1-GRU06-14277]
  9. project Sensores vestibles y tecnologia movil como apoyo en la formacion y practica de mindfulness: prototipo previo aplicado a bienestar - University of Zaragoza [UZ2017-TEC-02]
  10. Fondo Social Europeo [Ref-T81]
  11. Departamento de Tecnologia y Universidad del Gobierno de Aragon [Ref-T81]

Ask authors/readers for more resources

Underwater sensors provide one of the possibilities to explore oceans, seas, rivers, fish farms and dams, which all together cover most of our planet's area. Simulators can be helpful to test and discover some possible strategies before implementing these in real underwater sensors. This speeds up the development of research theories so that these can be implemented later. In this context, the current work presents an agent-based simulator for defining and testing strategies for measuring the amount of fish by means of underwater sensors. The current approach is illustrated with the definition and assessment of two strategies for measuring fish. One of these two corresponds to a simple control mechanism, while the other is an experimental strategy and includes an implicit coordination mechanism. The experimental strategy showed a statistically significant improvement over the control one in the reduction of errors with a large Cohen's d effect size of 2.55.

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