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Smart City Sensor Network Control and Optimization Using Intelligent Agents

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Advances in Information and Communication (FICC 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1363))

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Abstract

The sensor network is one of the most important layers in the smart city architecture. The major challenge for smart cities is processing the huge amount of information being transferred through the network. The data is usually generated from the sensor networks that build the physical layer of the smart city. In this paper, a new physical layer management framework is proposed to work as an edge layer that intelligently learns the behavior of the physical system and then optimizes it according to predefined objectives. The intelligence in the framework is divided into three modules. The first module learns the system states and the actions that can yield a state from another. The second module learns how to reach a certain objective expected from managing a sensor. The third module learns the overall system’s behavior and performance. States are represented as the fuzzified values of the sensor readings.

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Author information

Authors and Affiliations

  1. Computer Science Department, Western University, London, ON, Canada

    Razan AlFar & Michael Bauer

  2. Computer Engineering Department, American University of the Middle East, Egaila, Kuwait

    Yehia Kotb

Authors
  1. Razan AlFar
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  2. Yehia Kotb
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  3. Michael Bauer
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Corresponding authors

Correspondence to Razan AlFar , Yehia Kotb or Michael Bauer .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

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AlFar, R., Kotb, Y., Bauer, M. (2021). Smart City Sensor Network Control and Optimization Using Intelligent Agents. In: Arai, K. (eds) Advances in Information and Communication. FICC 2021. Advances in Intelligent Systems and Computing, vol 1363. Springer, Cham. https://doi.org/10.1007/978-3-030-73100-7_31

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