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 :
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