A CMOS Seawater Salinity to Digital Converter for IoT Applications of Fish Farms

Chiang, Cheng‐Ta

doi:10.1109/tcsi.2017.2686582

Cited by 9 publications

(1 citation statement)

References 26 publications

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“…Recently, both academia and industry have been interested in implementing the Internet of Things (IoT) technology (commonly used in terrestrial environments) but in underwater environments [1,2]. Some applications proposed using IoT in underwater environments include Submarine pollution monitoring [3], fish farm monitoring [4], climate change monitoring [5], and ocean data collection [6]. Mainly due to costs, wireless communications play an important role in the deployment of these applications.…”

Section: Introductionmentioning

confidence: 99%

Analytical Performance Evaluation of GFDM in Underwater Acoustic Communication Systems

Hilario-Tacuri

Soncco

Donaires

et al. 2021

Rev.Fac.Ing.Univ.Antioquia

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The rapid growth of the Internet of Things (IoT) has extended its concept to underwater environments. However, the implementation of these systems via wired communication still represents a technological challenge, mainly due to the high cost of their deployment. Therefore, wireless communications are seen as an interesting solution for the deployment of underwater communications systems. Preliminary research indicated that underwater acoustic wireless communication could be used for some Internet of Underwater Things applications, mainly due to the wide range of communications involved. However, a significant disadvantage of acoustic systems is their low transmission data rate; thus, studies and analyses to improve this disadvantage must be carried out. Considering that new waveforms have been proposed to improve the performance of terrestrial wireless communications systems, this work presents the development of general analytical expressions that allow the performance evaluation of the Generalized Frequency Division Multiplexing (GFDM) waveform in underwater environments. These analytical expressions were obtained considering a continuous-time model for the GFDM signal and modeling the underwater acoustic communication channel as a time-varying multipath channel. Numerical results were obtained for many different systems and channel parameters, allowing a quantitative evaluation of the system performance degradation.

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