DocumentCode :
1895038
Title :
On the efficiency and privacy of smart grids neighborhood area networks
Author :
Eltayeb, Mohammed E. ; Bahrami, Hamid Reza ; Al-Naffouri, Tareq Y.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Akron, Akron, OH, USA
fYear :
2013
fDate :
21-23 May 2013
Firstpage :
1
Lastpage :
5
Abstract :
A key task of smart meters is to securely report the power consumption of households and provide dynamic pricing to consumers. While transmission to all meters can be performed via a simple broadcast, several challenges are faced during the reporting process. Firstly, the communication network should be able to handle the large amount of load reports, and secondly, the privacy of the load report should be ensured. In this paper, we propose a novel compressive sensing based network design that 1) reduces the communication network transmission overhead, and 2) ensures the privacy of the load reports. Based on recent findings from [1] and [2], numerical results show that the proposed design significantly reduces the network transmission overhead and utilizes the fading channel to encrypt the load reports, thus making it almost impossible for an eavesdropper to decipher the load reports.
Keywords :
fading channels; smart meters; smart power grids; communication network transmission overhead; compressive sensing; dynamic pricing; eavesdropper; fading channel; neighborhood area networks; power consumption; smart grids; smart meters; Compressed sensing; Jamming; Power demand; Privacy; Smart grids; Throughput; Vectors; Compressive Sensing; Neighborhood Area Networks; Security; Smart Grids;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energytech, 2013 IEEE
Conference_Location :
Cleveland, OH
Type :
conf
DOI :
10.1109/EnergyTech.2013.6645331
Filename :
6645331
Link To Document :
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