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BibTex Citation Data :
@article{JOIV99,
author = {Sweta S and Balajee Maram},
title = {Underwater Wireless Sensor Networks},
journal = {JOIV : International Journal on Informatics Visualization},
volume = {2},
number = {1},
year = {2018},
keywords = {Underwater wireless sensor networks (UWSN); underwater acoustic networks (UAN); Autonomous underwater vehicle (AUV); Value of Information (VOI).},
abstract = {There are a plenty of unexploited resources that lies underwater that covers almost 75% of the earth.In order to utilise them,the field of underwater wireless sensor networks (UWSN) is attracting the researchers to extend their thoughts in this field. The wireless sensor networks are heavy networks that consist of small low cost sensors that have a large amount of solving ability and energy resources which can be applicable in any type of irregular environments irrespective of changing conditions. Keeping in view of the real-time remote data transferring requirements, underwater acoustic sensor networks (UASN) has been recognised as a preferred network because it satisfies all aspects of data transfer. In UASN, the required availability and recycling of energy resources along with specified utilisation of data with the help of utilized sensor nodes for energy requirements that are necessary are done for the development of further theories in these contexts. Due to these causes, the maximum underwater resources utilisation techniques mainly depends on UAN (Underwater Acoustic Networks).Underwater wireless sensor networks (UWSNs) suitable for applications on submarine detection and monitoring,where nodes collect data with a mobile autonomous underwater vehicle (AUV) via optical communications, and applied accordingly to deal with further approaches. They provide continuous monitoring for various applications like ocean sampling network, pollution monitoring, submarine detection, disaster prevention etc.This paper particularly deals with a brief collection of the UWSN applications and some of the algorithms for the path finding in order to pass maximum valued information(VOI) among the different nodes.},
issn = {2549-9904}, pages = {10--12}, doi = {10.30630/joiv.2.1.99},
url = {http://joiv.org/index.php/joiv/article/view/99}
}
Refworks Citation Data :
@article{{JOIV}{99}, author = {S, S., Maram, B.}, title = {Underwater Wireless Sensor Networks}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {2}, number = {1}, year = {2018}, doi = {10.30630/joiv.2.1.99}, url = {} }Refbacks
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JOIV : International Journal on Informatics Visualization
ISSN 2549-9610 (print) | 2549-9904 (online)
Organized by Department of Information Technology - Politeknik Negeri Padang, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W : http://joiv.org
E : joiv@pnp.ac.id, hidra@pnp.ac.id, rahmat@pnp.ac.id
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is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.