Machine-to-machine communications for home energy management system in smart grid

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...

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Main Authors: Niyato, Dusit, Lu, Xiao, Wang, Ping
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/98485
http://hdl.handle.net/10220/17361
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-984852020-05-28T07:18:07Z Machine-to-machine communications for home energy management system in smart grid Niyato, Dusit Lu, Xiao Wang, Ping School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks 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. Accepted version 2013-11-07T01:40:16Z 2019-12-06T19:55:51Z 2013-11-07T01:40:16Z 2019-12-06T19:55:51Z 2011 2011 Journal Article 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. 0163-6804 https://hdl.handle.net/10356/98485 http://hdl.handle.net/10220/17361 10.1109/MCOM.2011.5741146 en IEEE communications magazine © 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 application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks
spellingShingle DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks
Niyato, Dusit
Lu, Xiao
Wang, Ping
Machine-to-machine communications for home energy management system in smart grid
description 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.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Niyato, Dusit
Lu, Xiao
Wang, Ping
format Article
author Niyato, Dusit
Lu, Xiao
Wang, Ping
author_sort Niyato, Dusit
title Machine-to-machine communications for home energy management system in smart grid
title_short Machine-to-machine communications for home energy management system in smart grid
title_full Machine-to-machine communications for home energy management system in smart grid
title_fullStr Machine-to-machine communications for home energy management system in smart grid
title_full_unstemmed Machine-to-machine communications for home energy management system in smart grid
title_sort machine-to-machine communications for home energy management system in smart grid
publishDate 2013
url https://hdl.handle.net/10356/98485
http://hdl.handle.net/10220/17361
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