DocumentCode
2373566
Title
Cognitive information communication network for smart grid
Author
Han, Yinghua ; Wang, Jinkuan ; Zhao, Qiang ; Han, Peng
Author_Institution
Northeastern Univ. at Qinhuangdao, Qinhuangdao, China
fYear
2012
fDate
23-25 March 2012
Firstpage
847
Lastpage
850
Abstract
Two-way seamless communication is the key aspect of realizing the vision of smart grid. Reliable and real-time information becomes the key factor for reliable delivering of power from the generating units to the end-users. Given the smart grid use cases, this article is focused on proposing a cognitive based communication paradigm. The proposal is related to the hierarchical communication infrastructure, cognitive home area network, cognitive neighborhood area network and cognitive wide area network. The cognitive radio is mentioned to achieve dynamic spectrum access, interference avoidance, data throughput adaptive and act as a backup wireless communication technique in emergency situations for critical data transmission. And parallel acceleration processing techniques is proposed for data processing to solve the compute-intensive character of applications of smart grid.
Keywords
cognitive radio; interference suppression; radiofrequency interference; smart power grids; backup wireless communication technique in; cognitive home area network; cognitive information communication network; cognitive neighborhood area network; cognitive radio; cognitive wide area network; compute-intensive character; critical data transmission; data processing; data throughput adaptive; dynamic spectrum access; hierarchical communication infrastructure; interference avoidance; parallel acceleration processing techniques; smart grid; two-way seamless communication; Cognitive radio; Computer architecture; Sensors; Smart grids; Standards; Wide area networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Technology (ICIST), 2012 International Conference on
Conference_Location
Hubei
Print_ISBN
978-1-4577-0343-0
Type
conf
DOI
10.1109/ICIST.2012.6221767
Filename
6221767
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