mMTC Deployment over Sliceable Infrastructure

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorMotlagh, Naser Hosseinen_US
dc.contributor.authorAfolabi, Ibrahimen_US
dc.contributor.authorPozza, Matteoen_US
dc.contributor.authorBagaa, Milouden_US
dc.contributor.authorTaleb, Tariken_US
dc.contributor.authorTarkoma, Sasuen_US
dc.contributor.authorFlinck, Hannuen_US
dc.contributor.departmentUniversity of Helsinkien_US
dc.contributor.departmentDepartment of Communications and Networkingen_US
dc.contributor.departmentNokia Bell Labs Finlanden_US
dc.date.accessioned2022-01-12T07:17:51Z
dc.date.available2022-01-12T07:17:51Z
dc.date.issued2021en_US
dc.descriptionPublisher Copyright: IEEE
dc.description.abstractMassive Machine Type Communication (mMTC) has long been identified as a major vertical sector and enabler of the industry 4.0 technological evolution that will seamlessly ease the dynamics of machine-to-machine communications while leveraging 5G technology. To advance this concept, we have developed and tested an mMTC network slice called Megasense. Megasense is a complete framework that consists of multiple software modules, which is used for collecting and analyzing air pollution data that emanates from a massive amount of air pollution sensors. Taking advantage of 5G networks, Megasense will significantly benefit from an underlying communication network that is traditionally elastic and can accommodate the on-demand changes in requirements of such a use case. As a result, deploying the sensor nodes over a sliceable 5G system is deemed the most appropriate in satisfying the resource requirements of such a use case scenario. In this light, in order to verify how 5G-ready our Megasense solution is, we deployed it over a network slice that is totally composed of virtual resources. We have also evaluated the impact of the network slicing platform on Megasense in terms of bandwidth and resource utilization. We further tested the performances of the Megasense system and come up with different deployment recommendations based on which the Megasense system would function optimally.en
dc.description.versionPeer revieweden
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationMotlagh , N H , Afolabi , I , Pozza , M , Bagaa , M , Taleb , T , Tarkoma , S & Flinck , H 2021 , ' mMTC Deployment over Sliceable Infrastructure : The Megasense Scenario ' , IEEE NETWORK , vol. 35 , no. 6 , pp. 247-254 . https://doi.org/10.1109/MNET.111.2100093en
dc.identifier.doi10.1109/MNET.111.2100093en_US
dc.identifier.issn0890-8044
dc.identifier.issn1558-8044
dc.identifier.otherPURE UUID: 461adb18-5273-440e-b1b0-3ee6dad6461ben_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/461adb18-5273-440e-b1b0-3ee6dad6461ben_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85118278238&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/78051292/mMTC_Deployment_over_Sliceable_Infrastructure.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/112251
dc.identifier.urnURN:NBN:fi:aalto-202201121159
dc.language.isoenen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartofseriesIEEE NETWORKen
dc.rightsopenAccessen
dc.subject.keyword5G mobile communicationen_US
dc.subject.keywordAir pollutionen_US
dc.subject.keywordCloud computingen_US
dc.subject.keywordIntelligent sensorsen_US
dc.subject.keywordNetwork slicingen_US
dc.subject.keywordSensorsen_US
dc.subject.keywordWireless sensor networksen_US
dc.titlemMTC Deployment over Sliceable Infrastructureen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionacceptedVersion
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