An evolutionary approach to underwater sensor deployment

  • Authors:
  • Erik F. Golen;Bo Yuan;Nirmala Shenoy

  • Affiliations:
  • Rochester Institute of Technology, Rochester, NY, USA;Rochester Institute of Technology, Rochester, NY, USA;Rochester Institute of Technology, Rochester, NY, USA

  • Venue:
  • Proceedings of the 11th Annual conference on Genetic and evolutionary computation
  • Year:
  • 2009

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Abstract

Underwater acoustic sensor deployment for military surveillance is a significant challenge due to the inherent difficulties posed by the underwater channel in terms of sensing and communications between sensors, as well as the exorbitant cost of the sensors. Thus, these sensors must be deployed as efficiently as possible. The proposed Underwater Sensor Deployment Evolutionary Algorithm (USDEA) considers six important factors that have not yet been simultaneously considered due to the ensuing complexity of the problem. Sensing capability tradeoffs are shown through simulation of two sensor network topologies, mesh and cluster.