Underwater cooperative MIMO communications using hybrid acoustic and magnetic induction technique

Li, Zhangyu; Desai, Soham; Sudev, Vaishnendr D; Wang, Pu; Han, Jinsong; Sun, Zhi

doi:10.1016/j.comnet.2020.107191

Cited by 21 publications

(8 citation statements)

References 17 publications

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“…The exchange of information among various anchor and sensor nodes in a MI-based IoUT truly rely on the timevarying magnetic field. The time-varying magnetic field is basically generated by the modulated signal transmitted from transmitter coil antenna [36], [37]. It is also responsible for the intercommunication among the anchor and sensor nodes using magnetic induction (MI) phenomena as a medium in IoUT.…”

Section: B Underwater Magnetic-induction Rangingmentioning

confidence: 99%

Bayesian Multidimensional Scaling for Location Awareness in Hybrid-Internet of Underwater Things

Khalil¹,

Saeed²,

Babar³

et al. 2021

Preprint

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<div> <div> <div> <p>Localization of sensor nodes in the Internet of Underwater Things (IoUT) is of considerable significance due to its various applications, such as navigation, data tagging, and detection of underwater objects. Therefore, in this paper, we propose a hybrid Bayesian multidimensional scaling (BMDS) based localization technique that can work on a fully hybrid IoUT network where the nodes can communicate using either optical, magnetic induction, and acoustic technologies. These communication technologies are already used for communication in the underwater environment; however, lacking localization solutions. Optical and magnetic induction communication achieves higher data rates for short communication. On the contrary, acoustic waves provide a low data rate for long-range underwater communication. The proposed method collectively uses optical, magnetic induction, and acoustic communication-based ranging to estimate the underwater sensor nodes’ final locations. Moreover, we also analyze the proposed scheme by deriving the hybrid Cramer-Rao lower bound (H-CRLB). Simulation results provide a complete comparative analysis of the proposed method with the literature. </p> </div> </div> </div>

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Section: B Underwater Magnetic-induction Rangingmentioning

confidence: 99%

Bayesian Multidimensional Scaling for Location Awareness in Hybrid-Internet of Underwater Things

Khalil¹,

Saeed²,

Babar³

et al. 2021

Preprint

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“…An MI accepts unimportant propagation delay, which importantly reduced the synchronization time and error. 1 The spatial correlation analysis is occurred by the imaging lens structure of imaging MIMO communication channel is proposed for underwater visible light communication. Moreover, on spatial correlation, the result of spatial position to transmitting and receiving ends of the imaging system, like light-emitting diode (LED) light source array spacing, and the distance among LED and photodiode (PD).…”

Section: Related Workmentioning

confidence: 99%

“…Using a magnetic induction (MI) technique to resolve the internode synchronization issue, the distributed transducers can cooperatively form small beams for long communications. An MI accepts unimportant propagation delay, which importantly reduced the synchronization time and error 1 . The spatial correlation analysis is occurred by the imaging lens structure of imaging MIMO communication channel is proposed for underwater visible light communication.…”

Section: Related Workmentioning

confidence: 99%

Dolphin swarm optimization algorithm for software‐defined antenna selection algorithm in underwater acoustic sensor network

Rajaprakash

2021

Int J Communication

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Underwater acoustic sensor network (UASN) employs to monitor the aquatic environment. The underwater nodes deploy for continuous and real-time monitoring. The underwater nodes deploy at different depths to facilitate data forwarding from ocean floor sensor to buoys node. However, the underwater network has limited network resources such as the battery, bandwidth, and susceptibility to mobility, thermographic conditions, and propagation delay. The propagation delay and thermographic condition prolong node packet processing and delay network operation. The delayed network operation increases node battery consumption and overhead. Hence, a bio-inspired dolphin swarm optimization algorithm (DSA) implements to select the optimal antenna for data transmission. The DSA selects the optimal antenna for data communication by evaluating the acknowledgment packet obtained for data transmitted through multiband antennas. The DSA was simulated in an NS2-Aquasim environment and testbed to evaluate its performance. The DSA improved data reliability, packet delivery ratio by 97%, and reduced bit error rate (BER), end-to-end delay compared to traditional algorithms.

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“…This technology is already being developed and used in various projects. For instance, it has been applied as a complement to a cooperative multiple-input multiple-output (MIMO) communication mechanism that uses a hybrid acoustic and magnetic induction technique [ 20 ]. Another example of its use is a new approach for hybrid submarine communication nodes based on magnetic induction and visible light which presents an improvement in the position estimation of autonomous underwater vehicles [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

Communication System Based on Magnetic Coils for Underwater Vehicles

Canales-Gómez

León-Gónzalez

Jorge-Muñoz

et al. 2022

Sensors

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In this work, a wireless communication system based on magnetic coils for underwater vehicles is presented. Firstly, the mathematical model of magnetic field induction using magnetic coils is discussed. Then, a description of the proposed communication system is presented, including the main components of the transmitter and receiver module. The experimental results show that due to the properties of the magnetic field, the proposed communication system can work properly in different environments such as air or water with the same efficiency. Underwater tests were carried out in different water circumstances: varying the temperature in a range from 10 °C to 35 °C, varying concentrations of clay in a range from 0% to 10% , and varying the salinity concentration in a range from 1000 ppm ( parts per million) to 35,000 ppm. It was observed that these conditions do not affect the information transfer. Finally, the advantages of using the proposed system compared to existing submarine communication systems are discussed.

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Underwater cooperative MIMO communications using hybrid acoustic and magnetic induction technique

Cited by 21 publications

References 17 publications

Bayesian Multidimensional Scaling for Location Awareness in Hybrid-Internet of Underwater Things

Bayesian Multidimensional Scaling for Location Awareness in Hybrid-Internet of Underwater Things

Dolphin swarm optimization algorithm for software‐defined antenna selection algorithm in underwater acoustic sensor network

Communication System Based on Magnetic Coils for Underwater Vehicles

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