Persistent Net-AMI for Microgrid Infrastructure Using Cognitive Radio on Cloud Data Centers

被引:36
作者
Nagothu, Kranthimanoj [1 ]
Kelley, Brian [1 ]
Jamshidi, Mo [1 ]
Rajaee, Amir [1 ]
机构
[1] Univ Texas San Antonio, San Antonio, TX 78249 USA
来源
IEEE SYSTEMS JOURNAL | 2012年 / 6卷 / 01期
关键词
Cloud data center; cognitive radio; netbook advance metering infrastructure (Net-AMI); smart grid; wireless; LTE;
D O I
10.1109/JSYST.2011.2162794
中图分类号
TP [自动化技术、计算机技术];
学科分类号
080201 [机械制造及其自动化];
摘要
We address the potential for a truly universal set of integrated wireless communication services, energy management, and control services for a next-generation of National Institute of Standards and Technology microgrid standards. Our approach uses cloud computing data center as the central communication and optimization infrastructure supporting a cognitive radio network of AMI meters which we label netbook advance metering infrastructure (Net-AMI). The Net-AMI is a novel low cost infrastructure of AMI meters that operate akin to netbooks with wireless transceiver that access to cloud data center energy services, cognitive radio services, and wireless communication services. Access occurs via cognitive radios channels. We claim that this solution solves the important problem in smart grid systems of how to develop an extensible, persistent, smart grid information network with a lifespan equivalent to that of most power systems (20-30 years). By persistence, we imply always operable, entirely software upgradeable, and independent of cellular networks. Our system is extensible and can easily handle thousands of variations in power systems, communication protocols, control, and energy optimization protocols. We formulate necessary link analysis and optimum scheduling of downlink and uplink Net-AMI packets in a multiuser cognitive radio environment.
引用
收藏
页码:4 / 15
页数:12
相关论文
共 49 条
[1]
RF FIBER-OPTIC LINK PERFORMANCE [J].
Ackerman, Edward I. ;
Cox, Charles H., III .
IEEE MICROWAVE MAGAZINE, 2001, 2 (04) :50-58
[2]
A survey on spectrum management in cognitive radio networks [J].
Akyildiz, Ian F. ;
Lee, Won-Yeol ;
Vuran, Mehmet C. ;
Mohanty, Shantidev .
IEEE COMMUNICATIONS MAGAZINE, 2008, 46 (04) :40-48
[3]
Al-Raweshidy H., 2002, RADIO FIBER TECHNOLO
[4]
Amin S. M., 2005, IEEE POWER ENERG SEP, V3, P35
[5]
[Anonymous], SMART GRID RES DEV M
[6]
A Survey on Spectrum Sensing Techniques for Cognitive Radio [J].
Ariananda, D. D. ;
Lakshmanan, M. K. ;
Nikookar, H. .
COGART: 2009 SECOND INTERNATIONAL WORKSHOP ON COGNITIVE RADIO AND ADVANCED SPECTRUM MANAGEMENT, 2009, :74-79
[7]
LTE: The Evolution of Mobile Broadband [J].
Astely, David ;
Dahlman, Erik ;
Furuskar, Anders ;
Jading, Ylva ;
Lindstrom, Magnus ;
Parkvall, Stefan .
IEEE COMMUNICATIONS MAGAZINE, 2009, 47 (04) :44-51
[8]
Beh K., 2007, 18 ANN IEEE INT S PE, P1
[9]
Bennett C., 2008, ENERGY 2030 C 2008 E, P1
[10]
Bertino E., 2009, IEEE DATA ENG B, V32, P21