Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/450889
Title: Delay aware channel quality based disorder detection using robotics and connectivity search founded through probability assesment in usn
Researcher: Premalatha.J
Guide(s): Joe Prathap P.M
Keywords: Computer Science
Computer Science Artificial Intelligence
Engineering and Technology
University: Sathyabama Institute of Science and Technology
Completed Date: 2021
Abstract: In underwater research, several sensors are used to monitor the sea-level newlinechanges and observe the moving objects inside the sea. So, the protocol and sensor newlineshould sense-data changes and detect the objects then the information should newlinetransfer to the destination. It is very important to monitor the various changes that newlineoccur in coastal areas and the depths of the water. In addition, the regulation of newlinemarine surveillance and the monitoring of faults in the depths of the ocean is also a newlinesignificant part of communication. Undersea sensor networks require multiple newlinedevices and protocols to carry packets from the deep sea to the ocean level. During newlinethe transmission, locating neighbors to reach up and find a channel between them to newlinecommunicate is a challenging task, to do this the sensor will face a lot of problems newlineto carry the data to the destination within the time. To achieve the mission sensor newlineshould know to build the route with a stable connection until the data transmission newlineends, and accurate data transmission will be passed through a sound channel newlinespecially designed for underwater communication
Pagination: A5, vii, 197
URI: http://hdl.handle.net/10603/450889
Appears in Departments:COMPUTER SCIENCE DEPARTMENT

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10.chapter 6.pdfAttached File418.26 kBAdobe PDFView/Open
11.chapter 7.pdf818.3 kBAdobe PDFView/Open
12.annextures.pdf1.45 MBAdobe PDFView/Open
1.title.pdf308.37 kBAdobe PDFView/Open
2.prelim pages.pdf1.12 MBAdobe PDFView/Open
3.abstract.pdf192.8 kBAdobe PDFView/Open
4.contents.pdf490.17 kBAdobe PDFView/Open
5.chapter 1.pdf1.25 MBAdobe PDFView/Open
6.chapter 2.pdf724.24 kBAdobe PDFView/Open
7.chapter 3.pdf544.08 kBAdobe PDFView/Open
80_recommendation.pdf308.37 kBAdobe PDFView/Open
8.chapter 4.pdf537.71 kBAdobe PDFView/Open
9.chapter 5.pdf593.26 kBAdobe PDFView/Open
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