Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/571709
Title: Investigations on energy aware and optimization based node localization scheme in underwater wireless sensor networks
Researcher: Ponni R
Guide(s): Jayasankar T
Keywords: Computer Science
Computer Science Information Systems
Engineering and Technology
University: Anna University
Completed Date: 2024
Abstract: newline Underwater Wireless Sensor Networks (UWSNs), are utilized for a newlinevariety of purposes, including the investigation of undersea resources, the newlinecollecting of oceanographic data, the prevention of floods or disasters, tactical newlinesurveillance systems, and autonomous underwater vehicles. The use of newlineUWSN provides novel approaches to explore and forecast the behavior of newlineaquatic ecosystems. When it comes to estimating target tracking or newlinecatastrophe avoidance, sensed data is completely meaningless if it does not newlineprovide location information. We presented the RLS, which stands for the newlineReverse Localization Scheme. It is a one-of-a-kind three-dimensional newlinecentralized localization framework for Mobile Wireless Sensor Networks newline(MWSNs). According to the results of the simulation, the strategy that has newlinebeen offered improves energy economy and reduces the amount of time newlinerequired for localization reaction by achieving an appropriate degree of newlineaccuracy in representations of the motion that is represented by water newlinecurrents. This results in a decrease in the average response time for newlinelocalization, as well as a reduction in the number of message exchanges that newlineare necessary for localization. In underwater networks, the technology that is newlineutilized the most frequently at the physical layer is acoustic communications. newlineIt is only possible for radio waves to travel long distances across conductive newlinesalty water at extremely low frequencies, which range from 30 to 300 Hz. newlineThis requires the use of oversized antennae and a substantial amount of newlinetransmission power. Ad-hoc WiFi networks served as the foundation for the newlineconstruction of this UAV-enabled LoRa infrastructure.
Pagination: xxi,125p.
URI: http://hdl.handle.net/10603/571709
Appears in Departments:Faculty of Information and Communication Engineering

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02_prelim pages.pdf3.07 MBAdobe PDFView/Open
03_content.pdf550.53 kBAdobe PDFView/Open
04_abstract.pdf328.93 kBAdobe PDFView/Open
05_chapter1.pdf542.56 kBAdobe PDFView/Open
06_chapter2.pdf506.43 kBAdobe PDFView/Open
07_chapter3.pdf928.66 kBAdobe PDFView/Open
08_chapter4.pdf1.14 MBAdobe PDFView/Open
09_chapter5.pdf1.15 MBAdobe PDFView/Open
10_chapter6.pdf198.57 kBAdobe PDFView/Open
11_annexures.pdf189.95 kBAdobe PDFView/Open
80_recommendation.pdf130.94 kBAdobe PDFView/Open
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