Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/515489
Title: An Improved Particle Swarm Optimization Algorithm to Increase Network Life time and Mitigate Security Threats in Manet
Researcher: Haridas s
Guide(s): Rama Prasath A
Keywords: Computer Science
Computer Science Interdisciplinary Applications
Engineering and Technology
University: Hindustan Institute of Technology and Science
Completed Date: 2023
Abstract: newline Mobile Ad Hoc Network (MANET) is a specific group of autonomous mobile newlinedevices with limited energy and computational resources. Due to the inherent newlinecharacteristics of MANET, the nodes cause frequent route failure problems. newlineBecause of this issue, the packets transmitted between the source and newlinedestination will be discarded. Hence, it is failed when handling high newlinecomputational tasks. On the other hand, this MANET comprises no central newlinecommunication infrastructure to control communication; As a result, attackers newlineare able to carry out various malicious attacks all over the network. These newlineattacks significantly affect the Quality of Service. However, MANETs still face newlinemany challenging problems, which may significantly affect their performance newlineand application in practical situations. Thus, it is paramount to establish an newlineenergy-efficient routing to enhance the network s lifetime and secure routing in newlineMANET. Thus, proper management and security provisioning of the node is a newlinevital task and challenge in MANET. newlineAn adaptive routing strategy is adopted in this proposal with the aid of a novel newlineoptimization algorithm, Self-Improved Particle Swarm Optimization, which is newlinea conceptual improvement of standard Particle Swarm Optimization (PSO) for newlinemore energy-efficient route selection. This SI-PSO algorithm is more promising newlinethan traditional optimization algorithms in increasing MANET lifetime.
Pagination: 
URI: http://hdl.handle.net/10603/515489
Appears in Departments:Department of Computer Application

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01_title.pdfAttached File16.57 kBAdobe PDFView/Open
02_prelim pages.pdf168.58 kBAdobe PDFView/Open
03_content.pdf76.14 kBAdobe PDFView/Open
04_abstract.pdf45.66 kBAdobe PDFView/Open
05_chapter1.pdf162.92 kBAdobe PDFView/Open
06_chapter2.pdf113.2 kBAdobe PDFView/Open
07_chapter3.pdf860.18 kBAdobe PDFView/Open
08_chapter4.pdf350.06 kBAdobe PDFView/Open
09_chapter5.pdf45.11 kBAdobe PDFView/Open
10_annexures.pdf64.27 kBAdobe PDFView/Open
80_recommendation.pdf45.66 kBAdobe PDFView/Open
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