Target localization using information fusion in WSNs-based Marine search and rescue

Mei, Xiaojun; Han, Dong‐Guk; Chen, Yanzhen; Wu, Huafeng; Ma, Teng

doi:10.1016/j.aej.2023.01.028

Cited by 16 publications

(8 citation statements)

References 37 publications

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“…Numerous methods and algorithms have been proposed to address the node localization problem, aiming to achieve accurate and efficient localization results. We categorize the related work into three main approaches: range-based, range-free, and hybrid localization techniques [19][20][21][22][23][24][25][26][27][28].…”

Section: Related Workmentioning

confidence: 99%

“…Range-based localization techniques rely on distance or range measurements between sensor nodes to estimate their positions [19][20][21][22]. The authors in [19] consider the RSS method for location identification.…”

Section: Related Workmentioning

confidence: 99%

“…The authors in [19] consider the RSS method for location identification. In [20], an unconventional localization method employing the least-squares method was presented. The localization of target nodes is achieved in [21] through the combined utilization of angle-of-arrival (AOA) and RSS measures.…”

Section: Related Workmentioning

confidence: 99%

“…In this subsection, we study the effect of changing the position of the anchor nodes on the accuracy of position estimation using the proposed method. The 9 anchor nodes new location is located around the network center, as follows: [ (20,20), (50, 20), (80, 20), (20,50), (50, 50), (80, 50), (20,80), (50, 80), (80, 80)].…”

Section: Effect Of Changing the Anchor Node Locationsmentioning

confidence: 99%

See 3 more Smart Citations

Enhancing Smart Irrigation Efficiency: A New WSN-Based Localization Method for Water Conservation

Hassan,

Alharbi,

Oshaba

et al. 2024

Water

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The shortage of water stands as a global challenge, prompting considerable focus on the management of water consumption and irrigation. The suggestion is to introduce a smart irrigation system based on wireless sensor networks (WSNs) aimed at minimizing water consumption while maintaining the quality of agricultural crops. In WSNs deployed in smart irrigation, accurately determining the locations of sensor nodes is crucial for efficient monitoring and control. However, in many cases, the exact positions of certain sensor nodes may be unknown. To address this challenge, this paper presents a new localization method for localizing unknown sensor nodes in WSN-based smart irrigation systems using estimated range measurements. The proposed method can accurately determine the positions of unknown nodes, even when they are located at a distance from anchors. It utilizes the Levenberg–Marquardt (LM) optimization algorithm to solve a nonlinear least-squares problem and minimize the error in estimating the unknown node locations. By leveraging the known positions of a subset of sensor nodes and the inexact distance measurements between pairs of nodes, the localization problem is transformed into a nonlinear optimization problem. To validate the effectiveness of the proposed method, extensive simulations and experiments were conducted. The results demonstrate that the proposed method achieves accurate localization of the unknown sensor nodes. Specifically, it achieves 19% and 58% improvement in estimation accuracy when compared to distance vector-hop (DV-Hop) and semidefinite relaxation-LM (SDR-LM) algorithms, respectively. Additionally, the method exhibits robustness against measurement noise and scalability for large-scale networks. Ultimately, integrating the proposed localization method into the smart irrigation system has the potential to achieve approximately 28% reduction in water consumption.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Effect Of Changing the Anchor Node Locationsmentioning

confidence: 99%

See 2 more Smart Citations

Enhancing Smart Irrigation Efficiency: A New WSN-Based Localization Method for Water Conservation

Hassan,

Alharbi,

Oshaba

et al. 2024

Water

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show abstract

“…This paper argues that search equipment can be divided into five parts, namely, positioning equipment, communication equipment, extraction equipment, search equipment and lighting equipment. Positioning equipment is mainly used for the main ship to determine the position of itself and the missing submersible, which is convenient for the rescue operation, including sonar [8], radar and other equipment; the role of the communication equipment is to mark its own position [9] and communicate its own positional information, so that the main ship can find the missing submersible in time and rescue the people in distress; the main role of the extraction equipment is to get the valuable material or other information in the ocean, which can help the main ship to find the missing submersible faster; the search equipment is an extension of the extraction equipment, which can reach the distance from the main ship to find the missing submersible. The search equipment is an extension of the extraction equipment and can reach locations farther away from the main ship and conduct relatively independent operations; the lighting equipment helps the main ship to search for deeper locations in the sea and provides possible guidance for the missing diver at night.…”

Section: Search For Different Features and Functions Of The Devicementioning

confidence: 99%

Optimal combination choice of submersible search and rescue equipment based on AHP-multi-objective planning

Zhang

2024

HSET

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There are a variety of accidents that can occur when a submersible is traveling in the ocean. The main solution to improve the survival rate of the passengers in the submersible is to optimize the combination of search equipment on the main ship. In this paper, the preparation cost, maintenance cost and usage efficiency of different types of equipment are firstly identified as decision variables, safety, availability and inter-equipment compatibility as constraints, and minimization of total cost under the premise of maximizing usage efficiency as the objective function. By establishing a multi-objective planning model, the optimal equipment brand is found. Finally, the optimal equipment combination is solved by the combination of a robotic arm, Forum Sub-Atlantic Mohican ROV, and an underwater light, Underwater Kinetics Aqualite Pro, and the minimized overall cost is $90, 619. 05. This result not only reduces the cost of submersible search and rescue, but also improves the search efficiency, which is a strong guidance for the future underwater search and rescue field.

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Multi-head attention-based model for reconstructing continuous missing time series data

Zhang

Liang

et al. 2023

J Supercomput

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Target localization using information fusion in WSNs-based Marine search and rescue

Cited by 16 publications

References 37 publications

Enhancing Smart Irrigation Efficiency: A New WSN-Based Localization Method for Water Conservation

Enhancing Smart Irrigation Efficiency: A New WSN-Based Localization Method for Water Conservation

Optimal combination choice of submersible search and rescue equipment based on AHP-multi-objective planning

Multi-head attention-based model for reconstructing continuous missing time series data

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