Location Optimization Based on Improved 3D DV-HOP Algorithm in Wireless Sensor Networks

Wu, Yi; Zhang, Can; Lin, Tao; Shi, X.

doi:10.1109/access.2023.3303569

IEEE Access

2023

DOI: 10.1109/access.2023.3303569

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Location Optimization Based on Improved 3D DV-HOP Algorithm in Wireless Sensor Networks

Yi Wu

Can Zhang

Tao Lin

et al.

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2024

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Cited by 4 publications

References 19 publications

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Optimized Distance Vector Hop Localization Based on Pelican Optimization Algorithm in Underwater Wireless Sensor Networks

Nanthakumar,

Jothilakshmi

2024

Int J Communication

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In recent days, underwater exploration has emerged as one of the most predominant technologies for enhancing surveillance and early warning systems. Finding the location of the nodes placed in underwater is a difficult task owing to its harsh underwater environment. In large underwater wireless sensor networks (UWSNs), pinpointing the exact coordinates of sensor nodes may not be feasible or be incredibly expensive. In most of the applications, the coarse coordinate of the node is adequate. The primary technique used in UWSNs to determine the location of sensor nodes, based on the average distance between hops, is referred to as distance vector‐hop (DV‐Hop) localization. Nevertheless, the positioning accuracy in the classic DV‐Hop technique is influenced by the average hop distance. To reduce the localization error, it is possible to create a distinct and optimized DV‐Hop approach. To improve the effectiveness of the localization process, the average distance between hops is primarily used as an objective function. The optimization of this objective function is achieved by employing the Pelican Optimization Algorithm (POA). There is a noticeable decrease in the localization discrepancy if the optimized average hop distance is used to precisely determine the unidentified node to the anchor node distance among them. The factors used to evaluate the ability of the proposed methodology are the ratio of anchor, transmission range, and the density of the node. Compared to other localization procedures, the obtained outcomes demonstrate that the optimized approach that has been suggested achieves a low localization error of 0.3.

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Optimized Distance Vector Hop Localization Based on Pelican Optimization Algorithm in Underwater Wireless Sensor Networks

Nanthakumar,

Jothilakshmi

2024

Int J Communication

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An improved DVHop localization algorithm using a novel angle based node reduction and optimization technique

Bhat,

Venkata

2024

Discov Appl Sci

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Wireless sensor networks are becoming increasingly popular across a range of applications. One notable use is in seismic exploration and monitoring for oil and gas reservoirs. This application involves deploying numerous sensor nodes across outdoor fields to measure backscattered waves, which are then used to create an image of the subsurface. These sensor nodes remain active in the field for several days and must be accurately localized to ensure efficient reservoir detection. However, the Distance Vector-Hop (DVHop) algorithm, despite its simplicity, is not suitable for accurate node localization in exploration fields due to obstructions. In this paper, we propose a modified DVHop algorithm specifically designed for precise localization in such environments. Proposed algorithm uses angles between intermediate nodes to identify and circumvent nodes affected by obstructions. Distance estimation is performed using this reduced set of nodes. The estimated distances between these nodes are subsequently solved using Velocity Pausing Particle Swarm Optimization to determine the nodes’ locations. When evaluated in environments resembling exploration fields, our algorithm demonstrated an improvement of 25% to 63% in Average Localization Accuracy compared to other hop-based localization algorithms under similar conditions.

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Localizing unknown nodes with an FPGA-enhanced edge computing UAV in wireless sensor networks: Implementation and evaluation

Mani,

Rios-Navarro,

Sevillano Ramos

et al. 2024

Pervasive and Mobile Computing

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Location Optimization Based on Improved 3D DV-HOP Algorithm in Wireless Sensor Networks

Cited by 4 publications

References 19 publications

Optimized Distance Vector Hop Localization Based on Pelican Optimization Algorithm in Underwater Wireless Sensor Networks

Optimized Distance Vector Hop Localization Based on Pelican Optimization Algorithm in Underwater Wireless Sensor Networks

An improved DVHop localization algorithm using a novel angle based node reduction and optimization technique

Localizing unknown nodes with an FPGA-enhanced edge computing UAV in wireless sensor networks: Implementation and evaluation

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