Abstract
The goal of bio-inspired is to resolve human problems by studying and mimicking the characteristics of organisms or design elements which can be found in nature. Wireless sensor networks are used in a variety of fields but have limited network lifespans, so various research is being performed on the subject. In particular, research is being performed on observing and modeling the behavioral principles of various organisms to use in bio-inspired algorithms for efficient routing techniques in large-scale networks. In this research, we studied the pheromones used in ant communication and designed the techniques for energy efficiency improvement and traffic distribution by applying them to the proposed network. We designed biomimicry technology called the Wireless Sensor Networks Based on Bio-inspired Algorithms, and by analyzing and applying the similarities between communication systems and biological systems, our system was able to show improved performance in terms of extended network lifespan, optimized path selection, etc. In simulation results, the proposed routing algorithm has a short information collection time and low energy consumption, and through this it is able to maximize network energy efficiency.
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Acknowledgements
This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2018-2013-1-00877) supervised by the IITP (Institute for Information & communications Technology Promotion).
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Lee, M., Kim, H., Yoe, H. (2018). Wireless Sensor Networks Based on Bio-Inspired Algorithms. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10960. Springer, Cham. https://doi.org/10.1007/978-3-319-95162-1_52
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DOI: https://doi.org/10.1007/978-3-319-95162-1_52
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