Item
Publication
Exploring Li-Fi for IoT Advanced Audio Data Transfer
- Title
- Exploring Li-Fi for IoT Advanced Audio Data Transfer
- Abstract
-
Background: This study investigates Light Fidelity
(Li-Fi) as a possible route for data transmission, particularly
given the rapid rise of the Internet of Things (IoT). Given Wi-Fi's
vulnerability to interference, hacking, and worries about
electromagnetic radiation (EMR) health effects, Li-Fi's potential benefits over
appealing.
regular
Wi-Fi
were
especially
Objective: Determine the effectiveness of Li-Fi in delivering
audio data. This included building a rudimentary Li-Fi circuit to
carry audio data and testing its speed, security, and
dependability.
Methods: In the research, audio signals were converted to
optical signals using a Li-Fi-based circuit. This was sent across a
network. The efficiency and sustainability of solar panels were
investigated. To secure transmitted data, advanced encryption
was also tried.
Results:
The
findings
underlined li-Fi's improved
performance, particularly in situations of high network traffic.
This advantage is due to Li-Fi's use of light waves for data
transport, which are less sensitive to interference than traditional
radio frequency-based solutions. This study's basic Li-Fi circuit
acted as a proof of concept in audio data transfer, highlighting
the potential advantages of enhanced audio quality and increased
security.
Conclusion: Given the rising needs of IoT, Li-Fi appears as a
viable competitor for future Internet infrastructure. The study
highlights the benefits of Li-Fi while emphasizing the need for
ongoing research and technological advances to fully realize its
potential
in various applications, including voice data
transmission in IoT scenarios. - Scientific Type
- غير معروف
- Journal volume
- vol.35,No.1
- Collaboration type
- مشترك
- Publish Date
- April 26, 2024
- Participated Universities (Publication)
- Alnoor University
- Scopus status
- In Scopus
- Scopus index year
- 2 024
- Scopus citation score
- 0
- Clarivate status
- Not In Clarivate
- Pub. Med. status
- Not In PubMed
- Author (Publication)
- صبحي حمادي حمدون خطاب
- Journal (Publication)
- PROCEEDING OF THE 35TH CONFERENCE OF FRUCT ASSOCIATION
- Publisher (Publication)
- IEEE Computer Society
- ISSN
- 2305-7254
- Country (Publication)
- Russian Federation
- Country type
- عالمية
- College (Publication)
- College of Education
- Departement (Publication)
- Department of Computer Science
- Media
- Academic paper
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