VA: Virtual Node Assisted Localization Algorithm for Underwater Acoustic Sensor Networks

Liu, Chao; Wang, Xi; Luo, Hanjiang; Liu, Yuan

doi:10.1109/access.2019.2925938

Cited by 20 publications

(7 citation statements)

References 33 publications

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“…This algorithm works on is the application of compressive sensing theory to UASNs different from the traditional range-free algorithm. Proposed by [16] a Virtual node localization algorithm for UWANs which works on two parts. This algorithm effectively improves localization by dividing the algorithm into a virtual node assisted static (VAS) localization algorithm and a virtual node assisted dynamic (VAD) localization algorithm.…”

Section: A Localization In Underwater Acoustic Wireless Sensor Networkmentioning

confidence: 99%

Joint Algorithm for Multi-Hop Localization and Time Synchronization in Underwater Sensors Networks Using Single Anchor

et al. 2021

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In this study, an effort to synchronize and localize the underwater sensors simultaneously in a multi-hop environment is considered. Underwater Sensor Networks" (UWSNs) has limited range and connectivity due to propagation delay and limited bandwidth. By using a multi-hop environment, we can extend the range and enhancing the network connectivity for providing more accurate localization and synchronization technique. We have established a connection between sensors point to point directed links and then analytically construct the model for the synchronization as a function of range, delay, and timestamps. Secondly, we have formulated the unconstrained optimization problem for localization by using a gradient technique. The proposed research scheme first synchronizes and then localizes the unknown nodes with known depth by using the single anchor node in a multi-hop scenario. According to the literature survey, this joint effort has never been addressed before; both localization and time synchronization for multi-hop scenarios are addressed separately. The proposed algorithm will also calculate the propagation delay that will be generated during message propagation for both localization and time synchronization. The numerical results are compared with some well-known techniques in terms of the number of nodes, localization error, synchronization error, total processing time up to four hops. Experimental results show that the proposed model outperforms in terms of localization and synchronization accuracy, but since this work has never been done before therefore, we compare our results with the techniques that had separately address this problem having some constraints.

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Section: A Localization In Underwater Acoustic Wireless Sensor Networkmentioning

confidence: 99%

Joint Algorithm for Multi-Hop Localization and Time Synchronization in Underwater Sensors Networks Using Single Anchor

et al. 2021

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“…Though this approach reduced the cost of the network and increased the localization accuracy. Virtual node-assisted static and dynamic localization techniques were addressed (Liu et al 2019) for the marine environment. It resolved the RSSI error and bad time synchronization issues.…”

Section: Related Workmentioning

confidence: 99%

Fault-resilient localization using fuzzy logic and NSGA II-based metaheuristic scheme for UWSNs

2021

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Localization is the fundamental problem for event detecting and monitoring due to the mobility of nodes UWSNs. In the literature, researchers have examined the localization problem through optimization schemes for evaluating the accurate location of unknown target nodes . However, the existing schemes have not considered the failure of anchor nodes during obstacles, natural disasters and environmental interferences. Due to this, the network leads to high localization error and energy depletion. Therefore, in this paper, we considered anchor node failure and bad distance computational between anchor-target pair for better localization. For this, fault-resilient localization using FL and NSGA II-based metaheuristic scheme is proposed for UWSNs. In this scheme, first, we refined the correction value of an anchor node to improve the distance between anchor-target pair. Afterward, FL and NSGA II are applied to identify the set of optimal anchor nodes for the fault-resilient localization process. Furthermore, we have also incorporated fitness value with the three parameters such as residual energy, modified anchor-target distance and a number of the connected nodes as the input parameters, whereas probability is the output for the selection of optimal anchor nodes. Performance evaluation of the proposed scheme outperforms the existing scheme in terms of average localization error, better coverage positioning, localized and bad node proportion with a fast convergence rate under different network scenarios.

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“…In [41] authors propose virtual node assisted static and dynamic localization algorithms for static and mobile environments respectively. Nodes are divided into four roles; a surface mobile beacon node, underwater auxiliary node, underwater virtual nodes and unlocalized nodes.…”

Section: Figure 6 Convolutional Denoising Auto Encoder [37]mentioning

confidence: 99%

A Comprehensive Survey of the Recently Proposed Localization Protocols for Underwater Sensor Networks

Islam

Park

2020

IEEE Access

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Underwater Wireless Sensor Networks (UWSNs) offer a huge number of applications, most of which require tagging the sensed data with location information. This makes localization algorithms an essential part of UWSN design. This paper presents a comprehensive survey of the recently proposed literature on localization in UWSNs. The surveyed algorithms are evaluated based on a wide-ranging set of parameters which constitute the elementary features of a localization algorithm. Moreover, in order to familiarize the readers with the basic design of the surveyed algorithms, brief description of the mode of operations of each algorithm is presented along with its strengths and weaknesses. The algorithms are divided into two categories based on their computational design i.e., centralized and distributed. Each category is further subdivided into the algorithms that consider node mobility, and those that do not. Towards the end, we present our view on the future research directions in the area of localization in UWSNs.

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VA: Virtual Node Assisted Localization Algorithm for Underwater Acoustic Sensor Networks

Cited by 20 publications

References 33 publications

Joint Algorithm for Multi-Hop Localization and Time Synchronization in Underwater Sensors Networks Using Single Anchor

Joint Algorithm for Multi-Hop Localization and Time Synchronization in Underwater Sensors Networks Using Single Anchor

Fault-resilient localization using fuzzy logic and NSGA II-based metaheuristic scheme for UWSNs

A Comprehensive Survey of the Recently Proposed Localization Protocols for Underwater Sensor Networks

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