Abstract
Wireless sensor nodes with the capability to harvest energy from their environment are well suited for outdoor environmental monitoring applications. Due to their very nature, they can map spatial and temporal characteristics of the environment with high resolution. This, in turn, contributes to a better understanding of the processes and phenomena in the environment under surveillance. However, their energy-efficient operation is not a straightforward task. In this work, we use two bio-inspired optimization methods for a simulation-driven optimization of wireless sensor node parameters with respect to their performance at the intended deployment location.
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Krömer, P., Prauzek, M., Musilek, P., Barton, T. (2014). Optimization of Wireless Sensor Node Parameters by Differential Evolution and Particle Swarm Optimization. In: Kömer, P., Abraham, A., Snášel, V. (eds) Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014. Advances in Intelligent Systems and Computing, vol 303. Springer, Cham. https://doi.org/10.1007/978-3-319-08156-4_2
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DOI: https://doi.org/10.1007/978-3-319-08156-4_2
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08155-7
Online ISBN: 978-3-319-08156-4
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