Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/444600
Title: Gradient Strategies Exploiting Heuristic Relay Node Selection For QOS Provisioning In Opportunistic Wireless Networks
Researcher: Koushik, C P
Guide(s): Vetrivelan P
Keywords: Engineering
Engineering and Technology
Engineering Electrical and Electronic
University: Vellore Institute of Technology (VIT) University
Completed Date: 2021
Abstract: Wireless sensor network is a widely used technology in the areas of networking and newlinecommunication. This sensor based wireless network can be applied in static real time newlineapplications, whereas the mobility in wireless networks, MANETs has been introduced newlineto solve most of the crucial problems related to a disaster scenario. But, the data transmission newlinein the disaster region is a challenging task due to the irregular connections newlinebetween the sensing devices and the sink. To address this issue an opportunistic networks newlinewas developed from MANETs. The opportunistic networks is self-organizing in newlinenature and can easily be deployed in any region. However, there exist numerous routing newlinechallenges such as communication overhead ratio, packet loss and packet delivery ratio newlinein movable nodes scenarios. newlineSeveral conventional routing approaches are exist related to the opportunistic networks. newlineYet, these conventional routing approach has the drawback of low reliability. newlineSo, the proposed routing protocol with four modules had been designed for achieving newlineeffective data transmission in an opportunistic networks. In the first module, the localization newlineapproach is proposed where the canvas is divided into a grid and contains both newlineGPS and non-GPS enable nodes. The Cartesian based localization technique usually newlinefollows four quadrant planes. But, the proposed concept uses only first quadrant to find newlinethe location of Non-GPS node with vector law of triangle. Then, in the second module, newlinemobility model of nodes such as pattern mobility and random mobility are discussed. newlineFor pattern-based mobility prediction, LSTM-RNN technique is proposed and for random newlinebased mobility, Markov chain model is proposed. In the third module, a neighbour newlinetable-based relay node selection is proposed by the process of node elimination techniques newlinesuch as Location based node elimination, Direction based node elimination and newlineMobility based node elimination for selection of the most suitable relay node for the newlinepacket transmission. Then, in the last module, Quality of Service
Pagination: i-xvi, 116
URI: http://hdl.handle.net/10603/444600
Appears in Departments:School of Electronics Engineering-VIT-Chennai

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02_prelim pages.pdf959.44 kBAdobe PDFView/Open
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04_abstract.pdf61.72 kBAdobe PDFView/Open
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07_chapter_3.pdf540.68 kBAdobe PDFView/Open
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09_chapter_5.pdf393.36 kBAdobe PDFView/Open
10_chapter_6.pdf226.72 kBAdobe PDFView/Open
11_chapter_7.pdf2.15 MBAdobe PDFView/Open
12_chapter_8.pdf45.28 kBAdobe PDFView/Open
13_annexures.pdf129.09 kBAdobe PDFView/Open
80_recommendation.pdf156.15 kBAdobe PDFView/Open
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