Underwater Image Transmission Using Spatial Modulation Unequal Error Protection for Internet of Underwater Things

Esmaiel, Hamada; Qasem, Zeyad A. H.; Sun, Haixin; Wang, Junfeng; Junejo, Naveed Ur Rehman

doi:10.3390/s19235271

Cited by 20 publications

(16 citation statements)

References 29 publications

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“…However, the first-order Taylor approximation is applied during TDOA measurement plus linearized TDOA and FDOA greatly increases the complexity. High complexity acoustic-based localization system is unfortunately unacceptable as the underwater sensor nodes is a battery-based communication system and recharging capability is hard due to ocean environments [17][18][19].…”

Section: Related Workmentioning

confidence: 99%

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Underwater TDOA Acoustical Location Based on Majorization-Minimization Optimization

Sun

Esmaiel

2020

Sensors

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Underwater acoustic localization is a useful technique applied to any military and civilian applications. Among the range-based underwater acoustic localization methods, the time difference of arrival (TDOA) has received much attention because it is easy to implement and relatively less affected by the underwater environment. This paper proposes a TDOA-based localization algorithm for an underwater acoustic sensor network using the maximum-likelihood (ML) ratio criterion. To relax the complexity of the proposed localization complexity, we construct an auxiliary function, and use the majorization-minimization (MM) algorithm to solve it. The proposed localization algorithm proposed in this paper is called a T-MM algorithm. T-MM is applying the MM algorithm to the TDOA acoustic-localization technique. As the MM algorithm iterations are sensitive to the initial points, a gradient-based initial point algorithm is used to set the initial points of the T-MM scheme. The proposed T-MM localization scheme is evaluated based on squared position error bound (SPEB), and through calculation, we get the SPEB expression by the equivalent Fisher information matrix (EFIM). The simulation results show how the proposed T-MM algorithm has better performance and outperforms the state-of-the-art localization algorithms in terms of accuracy and computation complexity even under a high presence of underwater noise.

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Section: Related Workmentioning

confidence: 99%

“…∀x, y ∈ R n and y Ψ, (19) and evaluate this auxiliary based on the two conditions (1) and (2) mentioned above. The first condition can be proved using a simple mathematical algebra as follows, for every x Ψ, we have:…”

Section: Majorization-minimization Algorithm Based Tdoamentioning

confidence: 99%

Underwater TDOA Acoustical Location Based on Majorization-Minimization Optimization

Sun

Esmaiel

2020

Sensors

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“…O WING to its vast applications domain, underwater acoustic communications (UWAC), gained an intriguing momentum lately [1]- [7]. Unfortunately, underwater acoustic channel (UAC) imposes rougher constraints on its UWAC physical (PHY) layer than radio frequency (RF) PHY layer.…”

Section: Introductionmentioning

confidence: 99%

Fully Quadrature Subcarrier-Index Shift Keying for Efficient Underwater Acoustic Communications

et al. 2021

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A novel fully quadrature subcarrier-index shift keying orthogonal frequency division multiplexing (FQSISK-OFDM) modulation scheme for underwater acoustic communications (UWAC) is proposed in this paper. In the FQSISK, the data is conveyed by active and non-active OFDM-subcarriers indices. Moreover, the active odd and even subcarriers are marked with separable predefined dummy variables (DV). Herein, the DV ±δ (i.e., it can take any predefined value), and its quadrature ±jδ are exploited to distinguish between active even and odd subcarriers. Hence, the possibility of power leakage from active to non-active subcarriers is reduced, which minimizes the effect of severe UWAC intercarrier-interface (ICI). Moreover, the spectral efficiency of the FQSISK hardly depends on the subcarriers grouping size, which reduces the proposed FQSISK decoder complexity significantly. The simulation results demonstrate the proposed FQSISK superiority, as it achieves higher spectral and energy efficiencies than the plain OFDM and the recently introduced OFDM index modulation (OFDM-IM) techniques. INDEX TERMS OFDM with index modulation (OFDM-IM), underwater acoustic communications, quadrature shift keying, subcarrier-shift keying.

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“…One of the main underwater communication challenges is the accessibility of a workable power supply for the battery feed sensor nodes [1, 2]. In addition to the suffering of the restricted power sources, recharging capability is a very hard task in the ocean environments because of the unmanned underwater vehicles (UUVs), the underwater wireless sensor nodes and the nodes of the internet of underwater things are battery based [2, 3]. Industrial and academics thinking about increasing the battery lifetime as much as possible is to allow a better process.…”

Section: Introductionmentioning

confidence: 99%

Wireless information and power transfer for underwater acoustic time‐reversed NOMA

et al. 2020

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Underwater Image Transmission Using Spatial Modulation Unequal Error Protection for Internet of Underwater Things

Cited by 20 publications

References 29 publications

Underwater TDOA Acoustical Location Based on Majorization-Minimization Optimization

Underwater TDOA Acoustical Location Based on Majorization-Minimization Optimization

Fully Quadrature Subcarrier-Index Shift Keying for Efficient Underwater Acoustic Communications

Wireless information and power transfer for underwater acoustic time‐reversed NOMA

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