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

Author(s):  
Shakila R. ◽  
B. Paramasivan

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.

Author(s):  
Santosh Ashokrao Darade ◽  
M. Akkalakshmi

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 sensed data is transmitted to the monitoring station. Although the monitoring station receives the sensed data, the data 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 available for UWSNs. An improved range-based localization method is introduced in this paper to discover localization issue. To evaluate the location of the target sensors, localization error is further to be 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 outperform the existing work in terms of localization error and localization coverage.


2020 ◽  
Vol 14 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Amanpreet Kaur ◽  
Padam Kumar ◽  
Govind P. Gupta

Localization problem has gained a significant attention in the field of wireless sensor networks in order to support location-based services or information such as supporting geographic routing protocols, tracking events, targets, and providing security protection techniques. A number of variants of DV-Hop-based localization algorithms have been proposed and their performance is measured in terms of localization error. In all these algorithms, while determining the location of a non-anchor node, all the anchor nodes are taken into consideration. However, if only the anchors close to the node are considered, it will be possible to reduce the localization error significantly. This paper explores the effect of the close anchors in the performance of the DV-Hop-based localization algorithms and an improvement is proposed by considering only the closest anchors. The simulation results show that considering closest anchors for estimation of the location reduces localization error significantly as compared to considering all the anchors.


Sensors ◽  
2012 ◽  
Vol 12 (2) ◽  
pp. 2026-2061 ◽  
Author(s):  
Guangjie Han ◽  
Jinfang Jiang ◽  
Lei Shu ◽  
Yongjun Xu ◽  
Feng Wang

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