WiBiA: Wireless Sensor Networks Based on Biomimicry Algorithms

DOI

10.2991/ijcis.d.191029.001How to use a DOI?

Keywords

Biomimicry; ACO algorithm; Wireless sensor networks; Pheromone

Abstract

The goal of biomimicry is to resolve problems by studying and mimicking the characteristics of organisms or design elements in nature. Although wireless sensor networks are used in various fields, they have limited network lifespan. Research has thus focused on observing and modeling the behavioral principles of various organisms to use in biomimicry algorithms for efficient routing techniques in large-scale networks. In this study, we examine the pheromones used in ant communication, and accordingly design techniques for energy-efficient traffic distribution implemented on a network. We designed a biomimicry technology called the wireless sensor networks based on biomimicry algorithms or WiBiA. By analyzing and applying similarities between communication and biological systems, the performance of our system improved in terms of network lifespan and optimized path selection. In simulations, the proposed routing algorithm yielded short information-collection time and low-energy consumption, and thus maximized the energy efficiency of the network.

Copyright

© 2019 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Meonghun Lee
AU  - Hyun Yoe
PY  - 2019
DA  - 2019/11/07
TI  - WiBiA: Wireless Sensor Networks Based on Biomimicry Algorithms
JO  - International Journal of Computational Intelligence Systems
SP  - 1212
EP  - 1220
VL  - 12
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.191029.001
DO  - 10.2991/ijcis.d.191029.001
ID  - Lee2019
ER  -