Development of a secured ad-hoc on demand Distance Vector routing Protocol for Manet

xiv,117 Pages

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Autor principal: Kupoluyi, Olukemi Olaitan
Formato: Tese
Idioma:inglês
Publicado em: Obafemi Awolowo University 2023
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Acesso em linha:https://ir.oauife.edu.ng/123456789/5423
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author Kupoluyi, Olukemi Olaitan
author_facet Kupoluyi, Olukemi Olaitan
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publisher Obafemi Awolowo University
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spelling oai:ir.oauife.edu.ng:123456789-54232023-05-13T18:11:41Z Development of a secured ad-hoc on demand Distance Vector routing Protocol for Manet Kupoluyi, Olukemi Olaitan Vector routing Manet Optimized Network Engineering Tools Trust Based Reliable Ad-hoc On Demand Distance Vector fuzzy inference system xiv,117 Pages ABSTRACT This study formulated, simulated and evaluated a trust based security model for Ad Hoc On-Demand distance Vector (AODV) routing protocol. This was with a view to reducing malicious attacks on mobile nodes in Mobile Ad-hoc Networks (MANETs). A trust based security model was modelled as a three-input, one-output fuzzy inference system (FIS) using the fuzzy inference system toolbox in MATLAB. The model developed was fused into the AODV process model and simulated in Optimized Network Engineering Tools (OPNET). The model used the “minimum” hop count to destination and “most trusted route” techniques to route packets in the network. The performance comparison of the model and AODV was done using media access delay, network throughput and total packets dropped as performance metrics under three experimental scenarios (using network nodes of 20, 25 and 30). The developed model was further compared with an existing protocol Trust Based Reliable Ad-hoc On Demand Distance Vector (TBRAODV) using delay and network throughput as performance metrics under five experimental scenarios (using network nodes of 25, 50, 100, 200 and 300). The simulation result showed that the model developed outperformed AODV by decreasing the packet dropped and increasing the network throughput. For instance, for the 20 nodes network, the average packet dropped for the developed model was 2.467 while the average packet dropped for AODV was 4.789. The network throughput for the developed model was 46,057bits/sec while it was 44,281bits/sec for AODV. Similarly for the second experiment, the network throughput for the developed model was an improvement over TBRAODV for all scenarios. For instance, for 50 nodes network, the network throughput for the developed model was 669,082.00bits/sec as against 114,559.89bits/sec obtained for Trust Based Reliable AODV. In addition, the delay for the developed model was 0.037sec while that of Trust Based Reliable AODV was 0.650sec. It was therefore concluded that the developed model performed optimally better than both the unsecured AODV and Trust Based Reliable AODV (TBRAODV) with minimized packet dropped and increased network throughput. 2023-05-13T16:58:04Z 2023-05-13T16:58:04Z 2013 Thesis Kupoluyi,O.O.(2013).Development of a secured ad-hoc on demand distance vector routing protocol for manet.Obafemi Awolowo University. https://ir.oauife.edu.ng/123456789/5423 en application/pdf Obafemi Awolowo University
spellingShingle Vector routing
Manet
Optimized Network Engineering Tools
Trust Based Reliable Ad-hoc On Demand Distance Vector
fuzzy inference system
Kupoluyi, Olukemi Olaitan
Development of a secured ad-hoc on demand Distance Vector routing Protocol for Manet
title Development of a secured ad-hoc on demand Distance Vector routing Protocol for Manet
title_full Development of a secured ad-hoc on demand Distance Vector routing Protocol for Manet
title_fullStr Development of a secured ad-hoc on demand Distance Vector routing Protocol for Manet
title_full_unstemmed Development of a secured ad-hoc on demand Distance Vector routing Protocol for Manet
title_short Development of a secured ad-hoc on demand Distance Vector routing Protocol for Manet
title_sort development of a secured ad hoc on demand distance vector routing protocol for manet
topic Vector routing
Manet
Optimized Network Engineering Tools
Trust Based Reliable Ad-hoc On Demand Distance Vector
fuzzy inference system
url https://ir.oauife.edu.ng/123456789/5423
work_keys_str_mv AT kupoluyiolukemiolaitan developmentofasecuredadhocondemanddistancevectorroutingprotocolformanet