A Multi-Objective Optimization for enhancing the efficiency of Service in Flying Ad-Hoc Network Environment

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dc.authoridGUNESER, Muhammet Tahir/0000-0003-3502-2034
dc.authoridAyad Alkhafaji, Mohammed/0000-0001-9552-1332
dc.authoridAlkhafaji, Mustafa/0000-0001-5113-5325
dc.contributor.authorNahi, Hayder A.
dc.contributor.authorAl-dolaimy, F.
dc.contributor.authorAbbas, Fatima Hashim
dc.contributor.authorAlmohamadi, Mohammed
dc.contributor.authorHasan, Mustafa Asaad
dc.contributor.authorAlkhafaji, Mohammed Ayad
dc.contributor.authorGuneser, Muhammet Tahir
dc.date.accessioned2024-09-29T16:08:28Z
dc.date.available2024-09-29T16:08:28Z
dc.date.issued2023
dc.departmentKarabük Üniversitesien_US
dc.description.abstractFlying Ad-hoc Network (FANET) is one among the emerging technology and it is used in the huge application of the intelligent communication system. FANETs are combined with multiple Unmanned Aerial Vehicles (UAVs) to control the complex environment. Due to high mobility in FANETs the computation overhead and computation delay of the network is greatly increased that reflects in the reduction of the performance of FANETs. So it becomes very essential to provide effective routing and optimization in FANETs to maintain the stable communication. For that purpose, in this paper MultiObjective Hybrid Optimization for Quality of Service (QoS) Assisted Flying Ad-Hoc Network (MOHOQFANET) approach is proposed with the combination of Ant colony optimization (ACO) and particle swarm optimization (PSO). To achieve effective routing in FANETs, reliability of ad-hoc that depend on demand vector routing (RAODV). In order to perform initial shortest path selection in FANETs, ACO algorithm is utilized. The PSO optimization is applied in FANETs to achieve the best optimal solution between the flying nodes during the time of communication between them. The MOHOQ-FANET technique is implemented using NS2 as the platform. As well as being compared to earlier studies like CSPO-FANET and OSNP-FANET, the performance of the FANETs is assessed using metrics like ratio of packet delivery, host-to-host delay, routing overhead, and network throughput. The outcomes have illustrated, as compared to earlier systems, the proposed MOHOQ-FANET approach delivers high packet delivery ratio and throughput as well as reduced host-to-host delay and routing overhead.en_US
dc.identifier.doi10.4108/eetsis.vi.3442
dc.identifier.issn2032-9407
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85171541706en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.urihttps://doi.org/10.4108/eetsis.vi.3442
dc.identifier.urihttps://hdl.handle.net/20.500.14619/7566
dc.identifier.volume10en_US
dc.identifier.wosWOS:001068418400001en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInst Computer Sciences, Social Informatics & Telecommunications Eng-Icsten_US
dc.relation.ispartofEai Endorsed Transactions On Scalable Information Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFlying Ad-hoc Networken_US
dc.subjectQuality of Serviceen_US
dc.subjectAnt colony optimizationen_US
dc.subjectparticle swarm optimizationen_US
dc.subjectAdhoc On demand vectoren_US
dc.titleA Multi-Objective Optimization for enhancing the efficiency of Service in Flying Ad-Hoc Network Environmenten_US
dc.typeArticleen_US

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