Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/427484
Title: Hybrid multicast secure and reliable route optimization algorithms for manet using meta heuristic approach
Researcher: Arthi A
Guide(s): Jayakumar C
Keywords: Engineering and Technology
Engineering
Engineering Multidisciplinary
Manet
Topology
Optimization
University: Anna University
Completed Date: 2021
Abstract: The Mobile Ad-hoc Network (MANET) is a self-organizing mobile newlinenode system that communicates with one another via wireless connections. It newlinehas no centralized management like base stations or access points. In newlineMANET, node works both as hosts and routers to forward packets and all newlinenodes are mobile. newlineMulticast is the simultaneous delivery of messages or information to newlinea group of destinations via routers in a single transmission, only incase, the newlinenetwork topology requires it. Major constraints in designing multicast routing newlinealgorithm for MANET are Dynamic Topology changes, Limited Resource, newlineReliability, Node Mobility and Security. newlineNowadays Bio-inspired algorithms are attracting more important to newlinesolve optimization problems. In MANET optimizing performance metrics is a newlinetrivial issue that can be solved by various bio inspired algorithms such as newlineGenetic Algorithm (GA), Bacterial Foraging Optimization (BFO), Artificial newlineBee Colony Optimization (ABC), Ant Colony Optimization (ACO) and newlineParticle Swarm Optimization (PSO). newline
Pagination: xviii, 129p.
URI: http://hdl.handle.net/10603/427484
Appears in Departments:Faculty of Information and Communication Engineering

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02_prelim pages.pdf895.17 kBAdobe PDFView/Open
03_content.pdf635.06 kBAdobe PDFView/Open
04_abstract.pdf703.27 kBAdobe PDFView/Open
05_chapter 1.pdf74 kBAdobe PDFView/Open
06_chapter 2.pdf66.5 kBAdobe PDFView/Open
07_chapter 3.pdf264.92 kBAdobe PDFView/Open
08_chapter 4.pdf253.99 kBAdobe PDFView/Open
09_chapter5.pdf903.41 kBAdobe PDFView/Open
10_annexures.pdf90.07 kBAdobe PDFView/Open
80_recommendation.pdf57.75 kBAdobe PDFView/Open
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