Narrowband and wideband EMW path loss in underwater wireless sensor network

Sensor Review ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hanisah Mohd Zali ◽  
Mohd Khairil Adzhar Mahmood ◽  
Idnin Pasya ◽  
Miyuki Hirose ◽  
Nurulazlina Ramli

Purpose Utilization of electromagnetic wave (EMW) sensors in an underwater environment has the potential to increase the data rate compared to acoustic-based sensors because of the ability to use larger signal bandwidth. Nevertheless, EMW signals has the drawback of large signal attenuation in underwater, attributed to the high relative permittivity and conductivity of water compared to the atmosphere, hence employment of wide signal bandwidth is necessary to balance the data rate-attenuation trade-off. The purpose of this paper is to analyze the characteristics of both narrowband and wideband EMW signal propagation underwater and devise a path loss model for both cases. Design/methodology/approach Path loss measurement was conducted using a point-to-point configuration in a laboratory water tank while transmitting narrowband and wideband signals between a pair of wideband underwater antennas. The wideband underwater antennas use buffer-layer structures as the impedance matching layer to optimize the antenna performance when operating underwater. The path loss for narrowband signal was modeled using a multi-layer propagation equation in lossy medium considering losses at the medium boundaries. For the case of the wideband signal, a modified version of the model introducing power integration over bandwidth is adopted. These models were formulated through numerical simulations and verified by measurements. Findings The measured narrowband path loss marked an 80 dB attenuation using 800 MHz at 2 m distance. The proposed narrowband model agrees well with the measurements, with approximately 3 dB modeling error. Utilization of the proposed wideband path loss model resulted in a reduction of the gradient of the path loss curve compared to the case of the narrowband signal. The measured wideband path loss at 2 m distance underwater was approximately −65 dB, which has been shown to enable a working signal-to-noise ratio of 15 dB. This proves the potential of realizing high data rate transmission using the wideband signal. Originality/value The paper proposed a wideband propagation model for an underwater EMW sensor network, using power integration over bandwidth. The effectiveness of using wideband EMW signals in reducing path loss is highlighted, which is seldom discussed in the literature. This result will be of useful reference for using wideband signals in designing a high data rate transmission system in underwater wireless sensor networks, for example, in link budget, performance estimation and parameter design of suitable transmission scheme.

1996 ◽  
Author(s):  
Bijoy Khandheria ◽  
Marvin Mitchell ◽  
Barry Gilbert ◽  
Abdul Bengali ◽  
Kirk Garratt ◽  
...  

2010 ◽  
Vol 52 (3) ◽  
pp. 667-673 ◽  
Author(s):  
K. C. Eun ◽  
J.J. Lee ◽  
D. Y. Jung ◽  
S. J. Cho ◽  
H. Y. Kim ◽  
...  

Author(s):  
Noriaki Kaneda ◽  
Timo Pfau ◽  
Stephen Corteselli ◽  
Qi Yang ◽  
Andreas Leven ◽  
...  

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