Symbiotic sensor networks in complex underwater terrains: a simulation framework

  • Authors:
  • Vadim Gerasimov;Gerry Healy;Mikhail Prokopenko;Peter Wang;Astrid Zeman

  • Affiliations:
  • CSIRO Information and Communication Technology Centre, North Ryde, NSW, Australia;CSIRO Information and Communication Technology Centre, North Ryde, NSW, Australia;CSIRO Information and Communication Technology Centre, North Ryde, NSW, Australia;CSIRO Information and Communication Technology Centre, North Ryde, NSW, Australia;CSIRO Information and Communication Technology Centre, North Ryde, NSW, Australia

  • Venue:
  • KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents a new multi-agent physics-based simulation framework (DISCOVERY), supporting experiments with self-organizing underwater sensor and actuator networks. DISCOVERY models mobile autonomous underwater vehicles, distributed sensor and actuator nodes, as well as multi-agent data-to-decision integration. The simulator is a real-time system using a discrete action model, fractal-based terrain modelling, with 3D visualization and an evaluation mode, allowing to compute various objective functions and metrics. The quantitative measures of multi-agent dynamics can be used as a feedback for evolving the agent behaviors. An evaluation of a simple simulated scenario with a heterogeneous team is also described.