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Some Artificial Intelligence Driven Algorithms For Mobile Edge Computing in Smart City

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Computer Information Systems and Industrial Management (CISIM 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11703))

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Abstract

Smart mobile devices can share computing workload with the computer cloud that is important when artificial intelligence tools support computer systems in a smart city. This concept brings computing on the edge of the cloud, closer to citizens and it can shorten latency. Edge computing removes a crucial drawback of the smart city computing because city services are usually far away from citizens, physically. Besides, we introduced a neuro-evolution approach for supporting smart infrastructures. Solutions related to using Tweeter’s blogs by smart city apps are presented, too. Finally, the design principles of differential evolution for smart city are analyzed.

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Author information

Authors and Affiliations

  1. Faculty of Mathematics and Information Science, Warsaw University of Technology, Koszykowa St. 75, 00-662, Warsaw, Poland

    Jerzy Balicki

  2. Faculty of Telecommunications, Electronics and Informatics, Gdańsk University of Technology, Narutowicza St. 11/12, 80-233, Gdańsk, Poland

    Piotr Dryja & Marcin Zakidalski

Authors
  1. Jerzy Balicki
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  2. Piotr Dryja
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  3. Marcin Zakidalski
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Corresponding author

Correspondence to Jerzy Balicki .

Editor information

Editors and Affiliations

  1. Bialystok University of Technology, Bialystok, Poland

    Khalid Saeed

  2. University of Calcutta, Calcutta, India

    Rituparna Chaki

  3. Mihajlo Pupin Institute, Belgrade, Serbia

    Valentina Janev

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Balicki, J., Dryja, P., Zakidalski, M. (2019). Some Artificial Intelligence Driven Algorithms For Mobile Edge Computing in Smart City. In: Saeed, K., Chaki, R., Janev, V. (eds) Computer Information Systems and Industrial Management. CISIM 2019. Lecture Notes in Computer Science(), vol 11703. Springer, Cham. https://doi.org/10.1007/978-3-030-28957-7_10

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  • DOI: https://doi.org/10.1007/978-3-030-28957-7_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28956-0

  • Online ISBN: 978-3-030-28957-7

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