The gene regulatory network: an application to optimal coverage in sensor networks

  • Authors:
  • Sanjoy Das;Praveen Koduru;Xinye Cai;Stephen Welch;Venkatesh Sarangan

  • Affiliations:
  • Kansas State University, Manhattan, KS, USA;Kansas State University, Manhattan, KS, USA;Kansas State University, Manhattan, KS, USA;Kansas State University, Manhattan, KS, USA;Oklahoma State University, Stillwater, OK, USA

  • Venue:
  • Proceedings of the 10th annual conference on Genetic and evolutionary computation
  • Year:
  • 2008

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Abstract

This paper proposes a new approach for biologically inspired computing on the basis of Gene Regulatory Networks. These networks are models of genes and dynamic interactions that take place between them. The differential equation representations of such networks resemble neural networks as well as idiotypic networks in immune system. Although several potential applications have been outlined, an example, the problem of placing sensors optimally in a distributed environment is considered in detail. A comparison with NSGA-II suggest that the new method is able to accomplish near-optimal coverage of sensors in a network.