Open AccessEvolutionary Optimization Algorithms for Sunlight-Based Positioning Sensor Networks
Author(s) -
Jose Pardeiro,
Javier V. Gómez,
Alberto Brunete,
Frode Eika Sandnes
Publication year - 2014
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1155/2014/564072
Subject(s) - computer science , sunlight , global positioning system , evolutionary algorithm , real time computing , satellite , wireless sensor network , optimization algorithm , artificial intelligence , algorithm , mathematical optimization , telecommunications , computer network , optics , aerospace engineering , engineering , physics , mathematics
The sunlight intensity-based global positioning system (SGPS) is able to geolocate outdoor objects by means of the sunlightintensity detection. This paper presents the integration of SGPS into a sensor network in order to improve the overall accuracyusing evolutionary algorithms. Another contribution of the paper is to theoretically solve both global and relative positioning ofthe sensors composing the network within the same framework without satellite-based GPS technology. Results show that thisapproach is promising and has potential to be improved further
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