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dc.contributor.authorHasan, Khalid
dc.contributor.authorAhmed, Khandakar
dc.contributor.authorBiswas, Kamanashis
dc.contributor.authorIslam, Md Saiful
dc.contributor.authorKayes, ASM
dc.contributor.authorIslam, SM Riazul
dc.date.accessioned2020-11-05T04:36:29Z
dc.date.available2020-11-05T04:36:29Z
dc.date.issued2020
dc.identifier.issn1424-8220
dc.identifier.doi10.3390/s20154200
dc.identifier.urihttp://hdl.handle.net/10072/398997
dc.description.abstractSoftware-Defined Networking (SDN) offers an abstract view of the network and assists network operators to control the network traffic and the associated network resources more effectively. For the past few years, SDN has shown a lot of merits in diverse fields of applications, an important one being the Wireless Body Area Network (WBAN) for healthcare services. With the amalgamation of SDN with WBAN (SDWBAN), the patient monitoring and management system has gained much more flexibility and scalability compared to the conventional WBAN. However, the performance of the SDWBAN framework largely depends on the controller which is a core element of the control plane. The reason is that an optimal number of controllers assures the satisfactory level of performance and control of the network traffic originating from the underlying data plane devices. This paper proposes a mathematical model to determine the optimal number of controllers for the SDWBAN framework in healthcare applications. To achieve this goal, the proposed mathematical model adopts the convex optimization method and incorporates three critical SDWBAN factors in the design process: number of controllers, latency and number of SDN-enabled switches (SDESW). The proposed analytical model is validated by means of simulations in Castalia 3.2 and the outcomes indicate that the network achieves high level of Packet Delivery Ratio (PDR) and low latency for optimal number of controllers as derived in the mathematical model. View Full-Text
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherMDPI
dc.relation.ispartofpagefrom4200
dc.relation.ispartofissue15
dc.relation.ispartofjournalSensors
dc.relation.ispartofvolume20
dc.subject.fieldofresearchAnalytical Chemistry
dc.subject.fieldofresearchDistributed Computing
dc.subject.fieldofresearchElectrical and Electronic Engineering
dc.subject.fieldofresearchEnvironmental Science and Management
dc.subject.fieldofresearchEcology
dc.subject.fieldofresearchcode0301
dc.subject.fieldofresearchcode0805
dc.subject.fieldofresearchcode0906
dc.subject.fieldofresearchcode0502
dc.subject.fieldofresearchcode0602
dc.subject.keywordsScience & Technology
dc.subject.keywordsPhysical Sciences
dc.subject.keywordsTechnology
dc.subject.keywordsChemistry, Analytical
dc.subject.keywordsEngineering, Electrical & Electronic
dc.titleControl Plane Optimisation for an SDN-Based WBAN Framework to Support Healthcare Applications
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationHasan, K; Ahmed, K; Biswas, K; Islam, MS; Kayes, ASM; Islam, SMR, Control Plane Optimisation for an SDN-Based WBAN Framework to Support Healthcare Applications, Sensors, 2020, 20 (15), pp, 4200
dcterms.dateAccepted2020-07-27
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/
dc.date.updated2020-11-05T04:34:15Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorIslam, Saiful
gro.griffith.authorBiswas, Kamanashis
gro.griffith.authorHasan, Khalid


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