Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

RF path and absorption loss estimation for underwater wireless sensor networks in different water environments

Qureshi, Umair, Shaikh, Faisal, Aziz, Zuneera, Shah, Syed M. Zafi S., Sheikh, Adil, Felemban, Emad and Qaisar, Saad 2016. RF path and absorption loss estimation for underwater wireless sensor networks in different water environments. Sensors 16 (6) , 890. 10.3390/s16060890

[thumbnail of sensors-16-00890.pdf]
PDF - Published Version
Available under License Creative Commons Attribution.

Download (538kB) | Preview


Underwater Wireless Sensor Network (UWSN) communication at high frequencies is extremely challenging. The intricacies presented by the underwater environment are far more compared to the terrestrial environment. The prime reason for such intricacies are the physical characteristics of the underwater environment that have a big impact on electromagnetic (EM) signals. Acoustics signals are by far the most preferred choice for underwater wireless communication. Because high frequency signals have the luxury of large bandwidth (BW) at shorter distances, high frequency EM signals cannot penetrate and propagate deep in underwater environments. The EM properties of water tend to resist their propagation and cause severe attenuation. Accordingly, there are two questions that need to be addressed for underwater environment, first what happens when high frequency EM signals operating at 2.4 GHz are used for communication, and second which factors affect the most to high frequency EM signals. To answer these questions, we present real-time experiments conducted at 2.4 GHz in terrestrial and underwater (fresh water) environments. The obtained results helped in studying the physical characteristics (i.e., EM properties, propagation and absorption loss) of underwater environments. It is observed that high frequency EM signals can propagate in fresh water at a shallow depth only and can be considered for a specific class of applications such as water sports. Furthermore, path loss, velocity of propagation, absorption loss and the rate of signal loss in different underwater environments are also calculated and presented in order to understand why EM signals cannot propagate in sea water and oceanic water environments. An optimal solk6ution for underwater communication in terms of coverage distance, bandwidth and nature of communication is presented, along with possible underwater applications of UWSNs at 2.4 GHz.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Uncontrolled Keywords: UWSNs; sensors; underwater; water conductivity; water permeability; water permittivity; freshwater; seawater
Publisher: MDPI Publishing
ISSN: 1424-8220
Date of First Compliant Deposit: 19 April 2017
Date of Acceptance: 9 June 2016
Last Modified: 09 May 2019 14:25

Citation Data

Cited 66 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics