Bio-inspired optimization methods for visible light communication: a comprehensive review

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F25%3A10257630" target="_blank" >RIV/61989100:27240/25:10257630 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007/s10462-025-11251-5" target="_blank" >https://link.springer.com/article/10.1007/s10462-025-11251-5</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10462-025-11251-5" target="_blank" >10.1007/s10462-025-11251-5</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Bio-inspired optimization methods for visible light communication: a comprehensive review

Popis výsledku v původním jazyce

Visible light communication (VLC) offers a promising alternative to traditional radio frequency communication due to its greater bandwidth, energy efficiency, and security advantages. This paper presents a comprehensive review of bio-inspired optimization algorithms, including swarm intelligence and genetic algorithms, that enhance the performance and robustness of VLC systems. These techniques have demonstrated significant potential in addressing challenges such as channel optimization and noise reduction. However, despite their advantages, bio-inspired algorithms also face limitations, including computational complexity and limited adaptability to dynamic real-world conditions. Additionally, the integration of bio-inspired methods with artificial intelligence (AI) may further enhance their adaptability and efficiency in VLC systems. This review highlights both the opportunities and challenges associated with bio-inspired optimization in VLC and provides insights into future directions for research and practical implementation, which will focus on developing more efficient and scalable bio-inspired approaches that can operate in highly variable environments while minimizing energy consumption.

Název v anglickém jazyce

Bio-inspired optimization methods for visible light communication: a comprehensive review

Popis výsledku anglicky

Visible light communication (VLC) offers a promising alternative to traditional radio frequency communication due to its greater bandwidth, energy efficiency, and security advantages. This paper presents a comprehensive review of bio-inspired optimization algorithms, including swarm intelligence and genetic algorithms, that enhance the performance and robustness of VLC systems. These techniques have demonstrated significant potential in addressing challenges such as channel optimization and noise reduction. However, despite their advantages, bio-inspired algorithms also face limitations, including computational complexity and limited adaptability to dynamic real-world conditions. Additionally, the integration of bio-inspired methods with artificial intelligence (AI) may further enhance their adaptability and efficiency in VLC systems. This review highlights both the opportunities and challenges associated with bio-inspired optimization in VLC and provides insights into future directions for research and practical implementation, which will focus on developing more efficient and scalable bio-inspired approaches that can operate in highly variable environments while minimizing energy consumption.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Artificial Intelligence Review

ISSN

0269-2821

e-ISSN

1573-7462

Svazek periodika

58

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

25

Strana od-do

1-25

Kód UT WoS článku

001488262400004

EID výsledku v databázi Scopus

2-s2.0-105005029462