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http://dx.doi.org/10.3837/tiis.2013.09.008

Compressed Sensing-Based Multi-Layer Data Communication in Smart Grid Systems  

Islam, Md. Tahidul (School of Electrical Engineering, University of Ulsan)
Koo, Insoo (School of Electrical Engineering, University of Ulsan)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.7, no.9, 2013 , pp. 2213-2231 More about this Journal
Abstract
Compressed sensing is a novel technology used in the field of wireless communication and sensor networks for channel estimation, signal detection, data gathering, network monitoring, and other applications. It plays a significant role in highly secure, real-time, well organized, and cost-effective data communication in smart-grid (SG) systems, which consist of multi-tier network standards that make it challenging to synchronize in power management communication. In this paper, we present a multi-layer communication model for SG systems and propose compressed-sensing based data transmission at every layer of the SG system to improve data transmission performance. Our approach is to utilize the compressed-sensing procedure at every layer in a controlled manner. Simulation results demonstrate that the proposed monitoring devices need less transmission power than conventional systems. Additionally, secure, reliable, and real-time data transmission is possible with the compressed-sensing technique.
Keywords
Compressed sensing; home area network; multi-layer data communication; smart grid; wireless sensor network; zigBee;
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