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dc.contributor.authorJamborsalamati, Pouya
dc.contributor.authorFernandez, Edstan
dc.contributor.authorMoghimi, Mojtaba
dc.contributor.authorHossain, M Jahangir
dc.contributor.authorHeidari, Alireza
dc.contributor.authorLu, Junwei
dc.date.accessioned2019-06-26T06:04:25Z
dc.date.available2019-06-26T06:04:25Z
dc.date.issued2019
dc.identifier.issn1932-8184
dc.identifier.doi10.1109/JSYST.2018.2875537
dc.identifier.urihttp://hdl.handle.net/10072/382646
dc.description.abstractThis paper proposes an autonomous resource allocation system (RAS) for smart neighborhood areas in presence of distributed energy resources and storage systems, with the purpose of grid demand reduction (GDR). Different from the past research on RAS, most of which are not broken down into resource allocation of individual appliances, do not address practical implementation of RAS with communication systems, and do not consider realistic case scenarios with network latency and communication link failure, this paper presents an improved appliance-level RAS developed in four operational modes with a designed bidding mechanism to exchange energy among neighborhood members through a common storage facility, a hierarchical cloud-based two-layered communication architecture founded on message queuing telemetry transport protocol to implement local and global messaging required for the proposed RAS, and realistic case scenarios by considering data from a real-world residential area and utilizing a virtual wide area network emulator to emulate characteristics of a real network in order to investigate the effects of network latency or communication link failure on the implemented RAS. From the results of diverse scenarios, it could be observed that the proposed system performs effectively to achieve GDR, even if the communication system fails partially in the smart community under test.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherIEEE
dc.publisher.placeUnited States
dc.relation.ispartofpagefrom1
dc.relation.ispartofpageto12
dc.relation.ispartofjournalIEEE Systems Journal
dc.subject.fieldofresearchElectrical engineering
dc.subject.fieldofresearchElectronics, sensors and digital hardware
dc.subject.fieldofresearchElectronics, sensors and digital hardware not elsewhere classified
dc.subject.fieldofresearchcode4008
dc.subject.fieldofresearchcode4009
dc.subject.fieldofresearchcode400999
dc.titleMQTT-Based Resource Allocation of Smart Buildings for Grid Demand Reduction Considering Unreliable Communication Links
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.description.notepublicThis publication has been entered into Griffith Research Online as an Advanced Online Version.
gro.hasfulltextNo Full Text
gro.griffith.authorLu, Junwei


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