Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/98485
Title: Machine-to-machine communications for home energy management system in smart grid
Authors: Niyato, Dusit
Lu, Xiao
Wang, Ping
Keywords: DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks
Issue Date: 2011
Source: Niyato, 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.
Series/Report no.: IEEE communications magazine
Abstract: Machine-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.
URI: https://hdl.handle.net/10356/98485
http://hdl.handle.net/10220/17361
ISSN: 0163-6804
DOI: 10.1109/MCOM.2011.5741146
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 http://dx.doi.org/10.1109/MCOM.2011.5741146
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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