Multiple Object Localization in Underwater Wireless Communication Systems using the Theory of Gravitation

Khalil, Ruhul Amin; Saeed, Nasir; Jan, Tariqullah; Ashraf, Majid

doi:10.1109/m2vip.2018.8600876

Cited by 7 publications

(3 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Underwater wireless communication (UWC) systems use different communication technologies, such as acoustic waves, radio frequency (RF) waves, and optical waves [7]. The RF waves and acoustics waves are vastly used for omnidirectional underwater communications [8].…”

Section: Introductionmentioning

confidence: 99%

Effect of Link Misalignment in the Optical-Internet of Underwater Things

et al. 2020

Self Cite

View full text Add to dashboard Cite

Underwater wireless optical communication (UWOC) enables high-speed links in water for the optical Internet of Underwater Things (O-IoUT) networks. O-IoUT provides various marine applications, including ocean exploration, environmental monitoring, and underwater navigation. O-IoUT typically utilizes light-emitting diodes (LEDs) and different laser diodes (LDs) such as green/blue lasers to achieve efficient data communication in the underwater environment.The high-speed optical communication is limited up to a few tens of meters due to underwater channel impairments and misalignment between the transmitter (Tx) and the receiver (Rx). UWOC provides high-speed communications only in the line of sight conditions, and a small misalignment between the Tx and the Rx can degrade the system performance. In an attempt to understand and minimize this misalignment issue, we investigate how received power in a UWOC system depends on the transmitted beam's divergence angle. Simulation results are provided to show the effectiveness of the study by comparing the plane, Gaussian, and spherical beams. Monte Carlo simulations are utilized to determine the maximum allowable lateral offset between Tx and Rx for a given Tx divergence angle. The results provide an overview and design-based trade-off between different parameters such as lateral offset, the power received, and bandwidth of the channel. The proposed method improves not only the maximum allowed link-span but also the bandwidth of the channel for a given transmission distance.

show abstract

Section: Introductionmentioning

confidence: 99%

Effect of Link Misalignment in the Optical-Internet of Underwater Things

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…The progress in ISAC-based localization for IoUT results from a multidisciplinary collaboration encompassing underwater acoustics, signal processing, and marine technology. These endeavors are vital for surmounting the challenges of underwater communication, localization, and sensing, thereby facilitating the emergence of new applications and services within the underwater sphere [26]. Many factors affect the practical implementation of ISAC-based IoUT networks, such as limited bandwidth and data rates, complex signal propagation and interference, and environmental constraints such as temperature and pressure variations.…”

mentioning

confidence: 99%

ISAC-Enabled Underwater IoT Network Localization: Overcoming Asynchrony, Mobility, and Stratification Issues

Jehangir,

Majid Ashraf,

Amin Khalil

et al. 2024

IEEE Open J. Commun. Soc.

Self Cite

View full text Add to dashboard Cite

In oceanographic and environmental monitoring, achieving precise localization and sensing through Integrated Sensing and Communication (ISAC) within the Internet of Underwater Things (IoUT) networks is paramount. However, ISAC-based IoUT systems present distinctive challenges, including depth-dependent propagation speed, asynchronous clock synchronization, and node mobility. This paper introduces an efficient asynchronous localization method explicitly tailored for ISAC-based IoUT networks, which effectively addresses both the stratification effect and node mobility. Our approach centers on an iterative least squares (LS) algorithm designed to localize Autonomous Underwater Vehicles (AUVs) while carefully considering propagation delay and location estimation. Furthermore, we introduce a mobility model grounded in target sensing mechanisms that rely on AUVs' spatial coordinates and propulsion velocities, thereby enhancing the accuracy of target position estimation. We propose a novel precoding design for sensing using random acoustic signals within IoUT networks. To validate the effectiveness of our method, we conduct comprehensive Monte Carlo simulations and benchmark the results against stateof-the-art techniques. The findings demonstrate a significant reduction in estimation errors, confirming the superior efficiency of our approach compared to existing methods.

show abstract

“…Moreover, the classical localization techniques for terrestrial IoT networks do not function well in marine environments due to the harsh nature and non-availability of the Global Positioning System (GPS) system. It is straightforward that GPS works well in terrestrial networks, but its performance degrades when used in an indoor [14], [15] and underwater environment [16]. Moreover, the underwater monitoring systems demand accurate localization techniques as the collected data is only useful if the nodes' location is estimated accurately [17], [18].…”

mentioning

confidence: 99%

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

Khalil¹,

Saeed²,

Babar³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

<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>

show abstract

Multiple Object Localization in Underwater Wireless Communication Systems using the Theory of Gravitation

Cited by 7 publications

References 23 publications

Effect of Link Misalignment in the Optical-Internet of Underwater Things

Effect of Link Misalignment in the Optical-Internet of Underwater Things

ISAC-Enabled Underwater IoT Network Localization: Overcoming Asynchrony, Mobility, and Stratification Issues

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

Contact Info

Product

Resources

About