DocumentCode :
1837103
Title :
Green perspective cognitive radio-based M2M communications for smart meters
Author :
Vo, Quoc Duy ; Choi, Joo-Pyoung ; Chang, Hyung Min ; Lee, Won Cheol
Author_Institution :
Sch. of Electron. Eng., SoongSil Univ., Seoul, South Korea
fYear :
2010
fDate :
17-19 Nov. 2010
Firstpage :
382
Lastpage :
383
Abstract :
Recently, smart grid has been received considerable attention for the future power system development. Many advanced wireless technologies are being investigated to be used for the communication layer of smart grid. Among of those, TV band devices (TVBDs) are newly introduced as an appropriate technology for the management and coordination of power consumption. By applying TVBDs for smart meter, two-way communication between electric supplier devices and end-consumer devices becomes reality which effectively increases not only energy efficiency but also spectrum utilization performance. However, both power consumption levels and available TV spectrum vary from place to place, and any increase in spectrum efficiency will result in an undesirable increase in power consumption. To this end, Cognitive Radio (CR) functions based on different multi-objective genetic algorithms are proposed in this paper to finding out the trade-off between power efficiency and spectrum efficiency in different operating environments.
Keywords :
cognitive radio; energy conservation; genetic algorithms; mobile communication; power meters; radio spectrum management; smart power grids; telecommunication power supplies; M2M communications; TV band devices; TV spectrum; cognitive radio; multi-objective genetic algorithms; power consumption; power efficiency; power system development; smart grid; smart meters; spectrum efficiency; Digital TV; Optimization; Power demand; Servers; Smart grids; White spaces; Wireless communication; Cognitive Radio; M2M Communications; Multi-Objective Genetic Algorithm; Smart Grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technology Convergence (ICTC), 2010 International Conference on
Conference_Location :
Jeju
Print_ISBN :
978-1-4244-9806-2
Type :
conf
DOI :
10.1109/ICTC.2010.5674821
Filename :
5674821
Link To Document :
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