Hybrid Localization Approach for Underwater Sensor Networks

Tsai, Pei-Hsuan; Tsai, Rong Guei; Wang, Shiuan Shiang

doi:10.1155/2017/5768651

Cited by 19 publications

(13 citation statements)

References 36 publications

(74 reference statements)

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“…PSO has since sparked a plethora of new interests and structures an exhilarating, ever-expanding study topic known as swarm insight. This method searches the spaces of a target work by changing the trajectories of individual agents, termed particles, in a quasi-stochastic manner as piecewise ways determined by positional vectors [13].Particle swarm optimization (PSO) mathematical expression is followed [14]. Assuming a Dimensional search space, m particles form a group.…”

Section: B Particle Swarm Optimizationmentioning

confidence: 99%

Energy Efficient and Quality-of-Service Aware Routing using Underwater Wireless Sensor Networks

Sathya¹,

Sengottuvelan²

2022

IJACSA

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In current years, there has been an increasing attention in Underwater wireless sensor networks (UWSNs). Underwater sensor networks (USNs) can be applied for many various purposes. To address the routing issue, the Cuckoo Search Optimization Algorithm with Energy Efficient and QOS Aware (CSOA-EQ) based routing methods have been proposed in this chapter. Every application is important in its own right, but some of them can help improve sea investigation to meet a variety of underwater applications, such as a catastrophic event alert system (such as torrent and seismic monitoring), supported navigation, oceanographic data collection, and underwater surveillance, ecological applications (such as the nature of organic water and contamination monitoring), modern applications (such as marine investigation), and so on. For example, sensors can assess specific metrics, such as base intensity and securing pressure, to monitor the auxiliary nature of the securing environment in offshore engineering applications. UASNs have also improved our understanding of underwater environments, such as climate change, underwater creature life, and the number of inhabitants in coral reefs.

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Section: B Particle Swarm Optimizationmentioning

confidence: 99%

Energy Efficient and Quality-of-Service Aware Routing using Underwater Wireless Sensor Networks

Sathya¹,

Sengottuvelan²

2022

IJACSA

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“…We will broadly categorize localization protocols into the following three categories: Nature of the computational algorithm : Underwater location estimation algorithms may be categorized as centralized or distributed [21] depending on whether the localization is carried at a centralized location or whether every node finds its coordinate itself based on absolute coordinates of localized nodes. Each of these two types offers its own advantages and disadvantages [22]. For instance, the centralized technique relieves ordinary nodes of the computational burden.…”

Section: Related Workmentioning

confidence: 99%

A Two-Stage Localization Scheme with Partition Handling for Data Tagging in Underwater Acoustic Sensor Networks

Islam

Lee

2019

Sensors

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Knowledge about the geographic coordinates of underwater sensor nodes is of primary importance for many applications and protocols of under water sensor networks (UWSNs) thus making localization of sensor nodes a crucial part of underwater network design. In case of mobile underwater sensor network, location estimation becomes challenging not only due to the need for periodic tracking of nodes, but also due to network partitioning caused by the pseudo-random mobility of nodes. Our proposed technique accomplishes the task of localization in two stages: (1) relative localization of sensor nodes with respect to a reference node at regular intervals during sensing operation. (2) Offline absolute localization of sensor nodes using absolute coordinates of the reference node and relative locations estimated during stage 1. As our protocol deals with mobile underwater sensor networks that may introduce network partitioning, we also propose a partition handling routine to deal with network partitions to achieve high localization coverage. The major design goal of our work is to maximize localization coverage while keeping communication overhead minimum, thus achieving better energy efficiency. Major contributions of this paper are: (1) Two energy efficient relative localization techniques, and (2) A partition handling strategy that ensures localization of partitioned nodes.

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“…Considering the underwater environment, various navigation methods cannot be applied to the AUV, such as optical navigation, radio navigation, and satellite navigation. In response to this problem, a lot of novel navigation methods are studied in [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Modified Sage-Husa Adaptive Kalman Filter-Based SINS/DVL Integrated Navigation System for AUV

Liu

Liu³

et al. 2021

Journal of Sensors

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This paper presents a modified Sage-Husa adaptive Kalman filter-based SINS/DVL integrated navigation system for the autonomous underwater vehicle (AUV), where DVL is employed to correct the navigation errors of SINS that accumulate over time. When negative definite items are large enough, different from the positive definiteness of noise matrices which cannot be guaranteed for the conventional Sage-Husa adaptive Kalman filter, the proposed modified Sage-Husa adaptive Kalman filter deletes the negative definite items of adaptive update laws of the noise matrix to ensure the convergence of the Sage-Husa adaptive Kalman filter. In other words, this method sacrifices some filtering precision to ensure the stability of the filter. The simulation tests are implemented to verify that expected navigation accuracy for AUV can be obtained using the proposed modified Sage-Husa adaptive Kalman filter.

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Hybrid Localization Approach for Underwater Sensor Networks

Cited by 19 publications

References 36 publications

Energy Efficient and Quality-of-Service Aware Routing using Underwater Wireless Sensor Networks

Energy Efficient and Quality-of-Service Aware Routing using Underwater Wireless Sensor Networks

A Two-Stage Localization Scheme with Partition Handling for Data Tagging in Underwater Acoustic Sensor Networks

Modified Sage-Husa Adaptive Kalman Filter-Based SINS/DVL Integrated Navigation System for AUV

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