• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

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

Vol. 7, No. 9, September 29, 2013
10.3837/tiis.2013.09.008, Download Paper (Free):

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.


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Cite this article

[IEEE Style]
M. T. Islam and I. Koo, "Compressed Sensing-Based Multi-Layer Data Communication in Smart Grid Systems," KSII Transactions on Internet and Information Systems, vol. 7, no. 9, pp. 2213-2231, 2013. DOI: 10.3837/tiis.2013.09.008.

[ACM Style]
Md. Tahidul Islam and Insoo Koo. 2013. Compressed Sensing-Based Multi-Layer Data Communication in Smart Grid Systems. KSII Transactions on Internet and Information Systems, 7, 9, (2013), 2213-2231. DOI: 10.3837/tiis.2013.09.008.

[BibTeX Style]
@article{tiis:20365, title="Compressed Sensing-Based Multi-Layer Data Communication in Smart Grid Systems", author="Md. Tahidul Islam and Insoo Koo and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2013.09.008}, volume={7}, number={9}, year="2013", month={September}, pages={2213-2231}}