Line-of-sight VLC in inhomogeneous underwater medium

Performance evaluation

Noha Anous, Mohamed Abdallah, Khalid Qaraqe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this work, an underwater visible light communication vertical link is evaluated considering the inhomogeneity in underwater environment. The link is formed between an underwater transmitter (Tx) and a receiver (Rx) which is placed over a mount at the sea-level or above. Link budget formulas for the received power () are deduced. A numerical example is given to illustrate the BER performance under different link conditions. The effects of different system parameters such as average transmitted power (), data rate () and Tx orientation angle () on the BER performance are studied. When increases ten times, the maximum angular Rx position () increases by 8%-14% for the same data rate. It is shown that maximum received power is obtained when the Tx is pointed upwards facing the sea-level. Moreover, the effect of Rx altitude from the sea-level is studied for different weather conditions. The provided results indicate that under heavy and moderate fog, the Rx is best located at the sea-level. Whereas under light foggy weather, two cases exist. If the average transmitted power is relatively low, the Rx is to be mounted above sea-level for better performance. However, if it is relatively high, the Rx is better placed at the sea-level.

Original languageEnglish
Title of host publicationFuzzy Systems and Data Mining IV - Proceedings of FSDM 2018
EditorsAntonio J. Tallon-Ballesteros, Kaicheng Li
PublisherIOS Press
Pages688-699
Number of pages12
ISBN (Electronic)9781614999270
DOIs
Publication statusPublished - 1 Jan 2018
Event4th International Conference on Fuzzy Systems and Data Mining, FSDM 2018 - Bangkok, Thailand
Duration: 15 Nov 201816 Nov 2018

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume309
ISSN (Print)0922-6389

Other

Other4th International Conference on Fuzzy Systems and Data Mining, FSDM 2018
CountryThailand
CityBangkok
Period15/11/1816/11/18

Fingerprint

Sea level
Telecommunication links
Fog
Transmitters

Keywords

  • BER
  • Link budget
  • LOS
  • Performance
  • Underwater communication
  • Visible light communications

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Anous, N., Abdallah, M., & Qaraqe, K. (2018). Line-of-sight VLC in inhomogeneous underwater medium: Performance evaluation. In A. J. Tallon-Ballesteros, & K. Li (Eds.), Fuzzy Systems and Data Mining IV - Proceedings of FSDM 2018 (pp. 688-699). (Frontiers in Artificial Intelligence and Applications; Vol. 309). IOS Press. https://doi.org/10.3233/978-1-61499-927-0-688

Line-of-sight VLC in inhomogeneous underwater medium : Performance evaluation. / Anous, Noha; Abdallah, Mohamed; Qaraqe, Khalid.

Fuzzy Systems and Data Mining IV - Proceedings of FSDM 2018. ed. / Antonio J. Tallon-Ballesteros; Kaicheng Li. IOS Press, 2018. p. 688-699 (Frontiers in Artificial Intelligence and Applications; Vol. 309).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Anous, N, Abdallah, M & Qaraqe, K 2018, Line-of-sight VLC in inhomogeneous underwater medium: Performance evaluation. in AJ Tallon-Ballesteros & K Li (eds), Fuzzy Systems and Data Mining IV - Proceedings of FSDM 2018. Frontiers in Artificial Intelligence and Applications, vol. 309, IOS Press, pp. 688-699, 4th International Conference on Fuzzy Systems and Data Mining, FSDM 2018, Bangkok, Thailand, 15/11/18. https://doi.org/10.3233/978-1-61499-927-0-688
Anous N, Abdallah M, Qaraqe K. Line-of-sight VLC in inhomogeneous underwater medium: Performance evaluation. In Tallon-Ballesteros AJ, Li K, editors, Fuzzy Systems and Data Mining IV - Proceedings of FSDM 2018. IOS Press. 2018. p. 688-699. (Frontiers in Artificial Intelligence and Applications). https://doi.org/10.3233/978-1-61499-927-0-688
Anous, Noha ; Abdallah, Mohamed ; Qaraqe, Khalid. / Line-of-sight VLC in inhomogeneous underwater medium : Performance evaluation. Fuzzy Systems and Data Mining IV - Proceedings of FSDM 2018. editor / Antonio J. Tallon-Ballesteros ; Kaicheng Li. IOS Press, 2018. pp. 688-699 (Frontiers in Artificial Intelligence and Applications).
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