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The International Conference on Artificial Intelligence and Computer Vision

AICV 2021: Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021) pp 228–234Cite as

Finding Data Aggregation Locations in Smart Grids

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1377))

Abstract

The number and location of Data Aggregation Points (DAPs) will affect the smart meter neighborhood network's communication quality and cost. Because smart meters rely on wireless technology to transmit data, their transmission range is limited, so suburban and rural areas will require many DAP installation needs. It is essential to reduce the number of DAPs. For this problem, we propose a relay DAP placement scheme and propose corresponding algorithms to reduce the number of DAPs and avoid the large impact of relay DAP locations on communication quality. The test results verify that the proposed solution can reduce the number of DAPs and the effect of relay DAP locations on the communication quality.

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Acknowledgment

This work is supported by the Fujian University of Technology, China (Project Number: GY-Z18183 & GY-Z20016).

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Authors and Affiliations

  1. Fujian Provincial Key Laboratory of Big Data Mining and Applications, College of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, China

    Tien-Wen Sung, Yuntao Xu, Kuo-Chi Chang & Trong-The Nguyen

Authors
  1. Tien-Wen Sung
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  2. Yuntao Xu
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  3. Kuo-Chi Chang
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  4. Trong-The Nguyen
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Corresponding author

Correspondence to Tien-Wen Sung .

Editor information

Editors and Affiliations

  1. Information Technology Department, Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Faculty of Sciences and Techniques, Hassan 1st University, Settat, Morocco

    Abdelkrim Haqiq

  3. School of Medicine, University of Missouri, Columbia, MO, USA

    Peter J. Tonellato

  4. ISAE-ENSMA, Futuroscope Chasseneuil Cedex, France

    Ladjel Bellatreche

  5. British University Vietnam, Hung Yen, Vietnam

    Sam Goundar

  6. Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt

    Ahmad Taher Azar

  7. NEST Research Group, ENSEM, Hassan II University of Casablanca, Casablanca, Morocco

    Essaid Sabir

  8. High National School for Computer Science and Systems Analysis (ENSIAS), Mohammed V University, Rabat, Morocco

    Driss Bouzidi

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Cite this paper

Sung, TW., Xu, Y., Chang, KC., Nguyen, TT. (2021). Finding Data Aggregation Locations in Smart Grids. In: Hassanien, A.E., et al. Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021). AICV 2021. Advances in Intelligent Systems and Computing, vol 1377. Springer, Cham. https://doi.org/10.1007/978-3-030-76346-6_21

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