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dc.contributor.authorNiyato, Dusiten
dc.contributor.authorLu, Xiaoen
dc.contributor.authorWang, Pingen
dc.identifier.citationNiyato, D., Lu, X., & Ping, W. (2011). Machine-to-machine communications for home energy management system in smart grid. IEEE Communications Magazine, 49(4), 53-59.en
dc.description.abstractMachine-to-machine (M2M) communications have emerged as a cutting edge technology for next-generation communications, and are undergoing rapid development and inspiring numerous applications. This article presents an investigation of the application of M2M communications in the smart grid. First, an overview of M2M communications is given. The enabling technologies and open research issues of M2M communications are also discussed. Then we address the network design issue of M2M communications for a home energy management system (HEMS) in the smart grid. The network architecture for HEMS to collect status and power consumption demand from home appliances is introduced. Then the optimal HEMS traffic concentration is presented and formulated as the optimal cluster formation. A dynamic programming algorithm is applied to obtain the optimal solution. The numerical results show that the proposed optimal traffic concentration can minimize the cost of HEMS.en
dc.relation.ispartofseriesIEEE communications magazineen
dc.rights© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Published version of this article is available at
dc.subjectDRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networksen
dc.titleMachine-to-machine communications for home energy management system in smart griden
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Engineeringen
dc.description.versionAccepted versionen
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