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Dynamic Cooperative Coevolutionary Sensor Deployment Via Localized Fitness Evaluation

  • Xingyan Jiang
  • Yuanzhu Peter Chen
  • Tina Yu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5199)

Abstract

We propose an innovative cooperative co-evolutionary computation framework, Dynamic Cooperative Coevolution (DCC), which provides dynamic coupling of neighboring species for the fitness evaluation of individuals. One feature of DCC is the utilization of local fitness to achieve a global optimum, which makes it possible for co-evolutionary algorithms to be applied in localized distributed environments, such as network computing. This work is motivated by our interest in autonomous sensor deployment, where a sensor can only communicate with those within a limited range. Our experiments show that DCC is effective in obtaining good solutions under such distributed and localized conditions.

Keywords

Sensor Network Sensor Node Wireless Sensor Network Target Position Evolutionary Search 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Xingyan Jiang
    • 1
  • Yuanzhu Peter Chen
    • 1
  • Tina Yu
    • 1
  1. 1.Department of Computer ScienceMemorial University of NewfoundlandCanada

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