DC FieldValueLanguage
dc.contributor.authorAnagnostopoulos, Theodoros-
dc.contributor.authorMedvedev, Alexey-
dc.contributor.authorZaslavsy, Arkady-
dc.contributor.authorKhoruzhnicov, Sergey-
dc.date.accessioned2024-07-09T13:14:50Z-
dc.date.available2024-07-09T13:14:50Z-
dc.date.issued2015-09-11-
dc.identifierscopus-84958169529-
dc.identifier.isbn978-1-4799-9972-9-
dc.identifier.issn1551-6245-
dc.identifier.other84958169529-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2701-
dc.description.abstractSmart Cities are being designed and built for comfortable human habitation. Among services that Smart Cities will offer is the environmentally-friendly waste/garbage collection and processing. In this paper, we motivate and propose an Internet of Things (IoT) enabled system architecture to achieve dynamic waste collection and delivery to processing plants or special garbage tips. In the past, waste collection was treated in a rather static manner using classical operations research approach. As proposed in this paper, nowadays, with the proliferation of sensors and actuators, as well as reliable and ubiquitous mobile communications, the Internet of Things (IoT) enables dynamic solutions aimed at optimizing the garbage truck fleet size, collection routes and prioritized waste pick-up. We propose a top - k query based dynamic scheduling model to address the challenges of near real-time scheduling driven by sensor data streams. An Android app along with a user-friendly GUI is developed and presented in order to prove feasibility and evaluate a waste collection scenario using experimental data. Finally, the proposed models are evaluated on synthetic and real data from the city municipality of St. Petersburg, Russia. The models demonstrate consistency and correctness.en_US
dc.language.isoenen_US
dc.relation.ispartofProceedings of the 16th IEEE International Conference on Mobile Data Management (IEEE MDM 2015)en_US
dc.subjectDynamic schedulingen_US
dc.subjectIoTen_US
dc.subjectSmart cityen_US
dc.subjectTopk queryen_US
dc.subjectWaste collectionen_US
dc.titleTop - k Query Based Dynamic Scheduling for IoT-enabled Smart City Waste Collectionen_US
dc.typeConference Paperen_US
dc.relation.conference16th IEEE International Conference on Mobile Data Management (IEEE MDM 2015), 15-18 June 2015, Pittsburgh, PA, USAen_US
dc.identifier.doi10.1109/MDM.2015.25en_US
dc.identifier.scopus2-s2.0-84958169529-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume2en_US
dc.identifier.spage50en_US
dc.identifier.epage55en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusnot verifieden_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeConference Paper-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-5587-2848-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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