Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91923
DC FieldValueLanguage
dc.contributorDepartment of Electronic and Information Engineeringen_US
dc.creatorMagsino, ERen_US
dc.creatorHo, IWHen_US
dc.date.accessioned2022-01-18T06:24:41Z-
dc.date.available2022-01-18T06:24:41Z-
dc.identifier.issn1524-9050en_US
dc.identifier.urihttp://hdl.handle.net/10397/91923-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.subjectRoadside unit allocationen_US
dc.subjectInformation sharingen_US
dc.subjectVehicular networksen_US
dc.subjectSpatiotemporal coverageen_US
dc.subjectEfficiency and effectivenessen_US
dc.subjectStarvationen_US
dc.subjectFairnessen_US
dc.titleAn enhanced information sharing roadside unit allocation scheme for vehicular networksen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1en_US
dc.identifier.epage14en_US
dc.identifier.doi10.1109/TITS.2022.3140801en_US
dcterms.abstractSharing up-to-date environment information collected by intelligent connected vehicles is critical in achieving travel comfort, convenience, and safety in vehicular networks. Individually collected information should be made available to other vehicular nodes, adjacent or distant, to achieve an informed and well-managed vehicular traffic. The coverage reach of sharing these road data can be maximized by allocating roadside units in strategic positions. In this work, we propose an Enhanced Information SHAring via Roadside Unit Allocation (EISHA–RSU) scheme that strategically determines where RSUs must be deployed from all spatial candidate locations. The urban area is irregularly partitioned into effective regions of movement (ERM) according to vehicular capacity with priority. For each ERM, EISHA–RSU greedily allocates the initial RSU to an effective position and optimally assigns the remaining RSUs to spatial locations that capture the maximum I2V/V2I information sharing based on the area’s average road speed. In effect, the proposed deployment scheme addresses both the issues of coverage and connectivity among vehicles and the infrastructure. We evaluate the proposed RSU allocation scheme by employing three urban empirical mobility datasets and compare its network starvation fairness, effectiveness, and efficiency performance measures with three other deployment benchmarks. Overall, EISHA–RSU reduces the number of required RSUs to cover a certain area, exhibits higher connectivity, and achieves maximum I2V/V2I information sharing among the evaluated schemes.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationIEEE transactions on intelligent transportation systems, 2022, Early Access, p. 1-14, https://doi.org/10.1109/TITS.2022.3140801en_US
dcterms.isPartOfIEEE transactions on intelligent transportation systemsen_US
dcterms.issued2022-
dc.identifier.eissn1558-0016en_US
dc.description.validate202201 bcvcen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera1140-n01-
dc.identifier.SubFormID43993-
dc.description.fundingSourceRGCen_US
dc.description.fundingText15201118, R5007-18en_US
dc.description.pubStatusEarly releaseen_US
dc.date.embargo0000-00-00 (to be updated)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 0000-00-00 (to be updated)
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