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dc.contributor.authorSadiq, AS
dc.contributor.authorDehkordi, AA
dc.contributor.authorMirjalili, S
dc.contributor.authorToo, J
dc.contributor.authorPillai, P
dc.date.accessioned2021-09-26T23:24:59Z
dc.date.available2021-09-26T23:24:59Z
dc.date.issued2021
dc.identifier.issn2327-4662en_US
dc.identifier.doi10.1109/JIOT.2021.3109075en_US
dc.identifier.urihttp://hdl.handle.net/10072/408362
dc.description.abstractThe huge advancement in the field of communication has pushed the innovation pace towards a new concept in the context of Internet of Things (IoT) named IoT for Financial Technology applications (IoT-FinTech). The main intention is to leverage the businesses’ income and reducing cost by facilitating the benefits enabled by IoT-FinTech technology. To do so, some of the challenging problems that mainly related to routing protocols in such highly dynamic, unreliable (due to mobility) and widely distributed network need to be carefully addressed. This paper therefore focuses on developing a new trustworthy and efficient routing mechanism to be used in routing data traffic over IoT-FinTech mobile networks. A new Non-linear Lévy Brownian Generalized Normal Distribution Optimization (NLBGNDO) algorithm is proposed to solve the problem of finding an optimal path from source to destination sensor nodes to be used in forwarding FinTech’s related data. We also propose an objective function to be used in maintaining trustworthiness of the selected relay-node candidates by introducing a trust-based friendship mechanism to be measured and applied during each selection process. The formulated model also considering node’s residual energy, experienced response time, and inter-node distance (to figure out density/sparsity ratio of sensor nodes). Results demonstrate that our proposed mechanism could maintain very wise and efficient decisions over the selection period in comparison with other methods.en_US
dc.description.peerreviewedYesen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofjournalIEEE Internet of Things Journalen_US
dc.subject.fieldofresearchDistributed computing and systems softwareen_US
dc.subject.fieldofresearchCommunications engineeringen_US
dc.subject.fieldofresearchcode4606en_US
dc.subject.fieldofresearchcode4006en_US
dc.titleTrustworthy and Efficient Routing Algorithm for IoT-FinTech Applications Using Non-Linear Lévy Brownian Generalized Normal Distribution Optimizationen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dcterms.bibliographicCitationSadiq, AS; Dehkordi, AA; Mirjalili, S; Too, J; Pillai, P, Trustworthy and Efficient Routing Algorithm for IoT-FinTech Applications Using Non-Linear Lévy Brownian Generalized Normal Distribution Optimization, IEEE Internet of Things Journal, 2021en_US
dc.date.updated2021-09-26T22:54:11Z
dc.description.versionAccepted Manuscript (AM)en_US
gro.description.notepublicThis publication has been entered in Griffith Research Online as an advanced online version.en_US
gro.rights.copyright© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
gro.hasfulltextFull Text
gro.griffith.authorMirjalili, Seyedali


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