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Evolutionary Optimization Algorithms for Sunlight-Based Positioning Sensor Networks

Author

Listed:
  • Jose Pardeiro
  • Javier V. Gómez
  • Alberto Brunete
  • Frode Eika Sandnes

Abstract

The sunlight intensity-based global positioning system (SGPS) is able to geolocate outdoor objects by means of the sunlight intensity detection. This paper presents the integration of SGPS into a sensor network in order to improve the overall accuracy using evolutionary algorithms. Another contribution of the paper is to theoretically solve both global and relative positioning of the sensors composing the network within the same framework without satellite-based GPS technology. Results show that this approach is promising and has potential to be improved further.

Suggested Citation

  • Jose Pardeiro & Javier V. Gómez & Alberto Brunete & Frode Eika Sandnes, 2014. "Evolutionary Optimization Algorithms for Sunlight-Based Positioning Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 10(12), pages 564072-5640, December.
    • Handle: RePEc:sae:intdis:v:10:y:2014:i:12:p:564072
    DOI: 10.1155/2014/564072
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