DocumentCode
1485967
Title
Toward intelligent machine-to-machine communications in smart grid
Author
Fadlullah, Zubair Md ; Fouda, Mostafa M. ; Kato, Nei ; Takeuchi, Akira ; Iwasaki, Noboru ; Nozaki, Yousuke
Volume
49
Issue
4
fYear
2011
fDate
4/1/2011 12:00:00 AM
Firstpage
60
Lastpage
65
Abstract
The advanced metering infrastructure of the smart grid presents the biggest growth potential in the machine-to-machine market today. Spurred by recent advances in M2M technologies, SG smart meters are expected not to require human intervention in characterizing power requirements and energy distribution. However, there are many challenges in the design of the SG communications network whereby the electrical appliances and smart meters are able to exchange information pertaining to varying power requirements. Furthermore, different types of M2M gateways are required at different points (e.g., at home, in the building, at the neighborhood, and so forth) of the SG communication network. This article surveys a number of existing communication technologies that can be adopted for M2M communication in SG. Among these, the most reliable technology to facilitate M2M communication in the SG home area network is pointed out, and its shortcoming is also noted. Furthermore, a possible solution to deal with this shortcoming to improve SG communications scalability is also presented.
Keywords
domestic appliances; intelligent networks; power measurement; smart power grids; SG communication network; SG home area network; SG smart meters; electrical appliances; energy distribution; intelligent machine-to-machine communications; metering infrastructure; power requirements; smart grid; Bluetooth; IEEE 802.11 Standards; Machine learning; Protocols; Smart grids; Wireless sensor networks; Zigbee;
fLanguage
English
Journal_Title
Communications Magazine, IEEE
Publisher
ieee
ISSN
0163-6804
Type
jour
DOI
10.1109/MCOM.2011.5741147
Filename
5741147
Link To Document