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SACRB-MAC:一种用于智能电网中认知无线电传感器网络的高容量介质访问控制协议。

SACRB-MAC: A High-Capacity MAC Protocol for Cognitive Radio Sensor Networks in Smart Grid.

作者信息

Yang Zhutian, Shi Zhenguo, Jin Chunlin

机构信息

School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China.

State Grid Jilin Province Electric Power Research Institute, Changchun 130000, China.

出版信息

Sensors (Basel). 2016 Mar 31;16(4):464. doi: 10.3390/s16040464.

DOI:10.3390/s16040464
PMID:27043573
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4850978/
Abstract

The Cognitive Radio Sensor Network (CRSN) is considered as a viable solution to enhance various aspects of the electric power grid and to realize a smart grid. However, several challenges for CRSNs are generated due to the harsh wireless environment in a smart grid. As a result, throughput and reliability become critical issues. On the other hand, the spectrum aggregation technique is expected to play an important role in CRSNs in a smart grid. By using spectrum aggregation, the throughput of CRSNs can be improved efficiently, so as to address the unique challenges of CRSNs in a smart grid. In this regard, we proposed Spectrum Aggregation Cognitive Receiver-Based MAC (SACRB-MAC), which employs the spectrum aggregation technique to improve the throughput performance of CRSNs in a smart grid. Moreover, SACRB-MAC is a receiver-based MAC protocol, which can provide a good reliability performance. Analytical and simulation results demonstrate that SACRB-MAC is a promising solution for CRSNs in a smart grid.

摘要

认知无线电传感器网络(CRSN)被视为增强电网各个方面并实现智能电网的可行解决方案。然而,由于智能电网中恶劣的无线环境,CRSN面临着诸多挑战。因此,吞吐量和可靠性成为关键问题。另一方面,频谱聚合技术有望在智能电网的CRSN中发挥重要作用。通过使用频谱聚合,可以有效提高CRSN的吞吐量,从而应对智能电网中CRSN面临的独特挑战。在这方面,我们提出了基于频谱聚合认知接收器的MAC协议(SACRB-MAC),该协议采用频谱聚合技术来提高智能电网中CRSN的吞吐量性能。此外,SACRB-MAC是一种基于接收器的MAC协议,能够提供良好的可靠性性能。分析和仿真结果表明,SACRB-MAC是智能电网中CRSN的一种有前景的解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f5/4850978/8e60064fbf09/sensors-16-00464-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f5/4850978/f142c84c3f2b/sensors-16-00464-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f5/4850978/fd8246846d24/sensors-16-00464-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f5/4850978/0e3659234585/sensors-16-00464-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f5/4850978/2a0c8c979f8f/sensors-16-00464-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f5/4850978/0537dee80b62/sensors-16-00464-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f5/4850978/558676b983d1/sensors-16-00464-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f5/4850978/cf07af4945d5/sensors-16-00464-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f5/4850978/8e60064fbf09/sensors-16-00464-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f5/4850978/f142c84c3f2b/sensors-16-00464-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f5/4850978/fd8246846d24/sensors-16-00464-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f5/4850978/0e3659234585/sensors-16-00464-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f5/4850978/2a0c8c979f8f/sensors-16-00464-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f5/4850978/0537dee80b62/sensors-16-00464-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f5/4850978/558676b983d1/sensors-16-00464-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f5/4850978/cf07af4945d5/sensors-16-00464-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f5/4850978/8e60064fbf09/sensors-16-00464-g008.jpg

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