scholarly journals Localization Algorithms of Underwater Wireless Sensor Networks: A Survey

Sensors ◽  
2012 ◽  
Vol 12 (2) ◽  
pp. 2026-2061 ◽  
Author(s):  
Guangjie Han ◽  
Jinfang Jiang ◽  
Lei Shu ◽  
Yongjun Xu ◽  
Feng Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Underwater Wireless Sensor Networks ◽  
Localization Algorithms

Design and Development of a Novel Localization Scheme for Underwater Wireless Sensor Networks

2020 ◽  
Vol 16 (1) ◽  
pp. 1-18
Author(s):  
Shakila R. ◽  
B. Paramasivan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Performance Metrics ◽  
Wireless Sensor ◽  
Monitoring Station ◽  
Localization Error ◽  
Underwater Wireless Sensor Networks ◽  
Localization Scheme ◽  
Localization Algorithms ◽  
Whale Optimization

The localization of underwater sensors is the most crucial task in underwater wireless sensor networks (UWSNs). The sensors which are situated under the water sense data from the environment and transmit to the monitoring station. Although the monitoring station receives the data, it is meaningless without knowing the exact position of the sensor. Localization is the major issue in UWSN to be resolved. There are several localization algorithms available for terrestrial wireless sensor networks (WSN) but there are comparatively few localization algorithms are available for UWSNs. An improved range-based localization method is introduced in this article to discover localization issue. To evaluate the location of the target sensors, the localization error is further reduced. The localization error is reduced by applying the Whale Optimization Algorithm (WOA) in this technique. Simulation results demonstrate that performance metrics of the proposed approach outperforms that of the existing work in terms of localization error and localization coverage.

scholarly journals Survey of Localizations Algorithms in Underwater Wireless Sensor Network

2021 ◽  
pp. 403-409
Author(s):  
Sitanshu Kumar ◽  
Dr. Sunil Rathod
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Optimization Algorithm ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Underwater Wireless Sensor Networks ◽  
Sensing Element ◽  
Localization Algorithms

The main objective of this research paper is to review and analyze the different existing localization algorithms techniques that are used to overcome the localization issue in the wireless sensor network. Underwater Wireless sensor networks consists up of small sensor nodes that are placed in huge quantity over a large water surface region to perform several tasks like sensing the data and communicate with other devices. Most of the applications of underwater wireless sensor networks like forest fire detection required the exact position of the sensing element. The main motive of the localization process is to localize the coordinates to the every node with unidentified location in the sensing area of underwater. In this paper, we have discussed various localization algorithms for localizing the sensor nodes like particle swarm optimization; bees optimization algorithm, bat algorithm, cuckoo optimization and butterfly optimization algorithm etc. are reviewed. The detail analysis of these techniques in terms of localization error, computation time and amount of localized nodes has been discussed in this paper.

Routing issues and challenges in Underwater Wireless Sensor Networks

2018 ◽  
Vol 6 (2) ◽  
pp. 238-241 ◽  
Author(s):  
Pushpender Sarao ◽  
◽  
Kannaiah Chattu ◽  
Ch. Swapna ◽  
◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Underwater Wireless Sensor Networks

scholarly journals An Uneven Node Self-Deployment Optimization Algorithm for Maximized Coverage and Energy Balance in Underwater Wireless Sensor Networks

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1368 ◽  
Author(s):  
Luoheng Yan ◽  
Yuyao He ◽  
Zhongmin Huangfu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Balance ◽  
Optimization Algorithm ◽  
Growth Ring ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Underwater Wireless Sensor Networks ◽  
Connected Network ◽  
Deployment Optimization

The underwater wireless sensor networks (UWSNs) have been applied in lots of fields such as environment monitoring, military surveillance, data collection, etc. Deployment of sensor nodes in 3D UWSNs is a crucial issue, however, it is a challenging problem due to the complex underwater environment. This paper proposes a growth ring style uneven node depth-adjustment self-deployment optimization algorithm (GRSUNDSOA) to improve the coverage and reliability of UWSNs, meanwhile, and to solve the problem of energy holes. In detail, a growth ring style-based scheme is proposed for constructing the connective tree structure of sensor nodes and a global optimal depth-adjustment algorithm with the goal of comprehensive optimization of both maximizing coverage utilization and energy balance is proposed. Initially, the nodes are scattered to the water surface to form a connected network on this 2D plane. Then, starting from sink node, a growth ring style increment strategy is presented to organize the common nodes as tree structures and each root of subtree is determined. Meanwhile, with the goal of global maximizing coverage utilization and energy balance, all nodes depths are computed iteratively. Finally, all the nodes dive to the computed position once and a 3D underwater connected network with non-uniform distribution and balanced energy is constructed. A series of simulation experiments are performed. The simulation results show that the coverage and reliability of UWSN are improved greatly under the condition of full connectivity and energy balance, and the issue of energy hole can be avoided effectively. Therefore, GRSUNDSOA can prolong the lifetime of UWSN significantly.

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