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Swarm Intelligence and IoT-Based Smart Cities: A Review

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The Internet of Things for Smart Urban Ecosystems

Part of the book series: Internet of Things ((ITTCC))

Abstract

Smart cities are complex and large distributed systems characterized by their heterogeneity, security, and reliability challenges. In addition, they are required to take into account several scalability, efficiency, safety, real-time responses, and smartness issues. All of this means that building smart city applications is extremely complex. Swarm Intelligence is a very promising paradigm to deal with such complex and dynamic systems. It presents robust, scalable and self-organized behaviors to deal with dynamic and fast changing systems. The intelligence of cities can be modeled as a swarm of digital telecommunication networks (the nerves), ubiquitously embedded intelligence (the brains), sensors and tags (the sensory organs), and software (the knowledge and cognitive competence). In this chapter, swarm intelligence-based algorithms and existing swarm intelligence-based smart city solutions will be analyzed. Moreover, a swarm-based framework for smart cities will be presented. Then, a set of trends on how to use swarm intelligence in smart cities, in order to make them flexible and scalable, will be investigated.

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Authors and Affiliations

  1. LabSTIC, 8 may 1945 University, P.O. Box 401, 24000, Guelma, Algeria

    Ouarda Zedadra & Hamid Seridi

  2. CNR - National Research Council of Italy - Institute for High Performance Computing and Networking (ICAR), Via P. Bucci 7-11C, 87036, Rende, Cosenza, Italy

    Antonio Guerrieri, Giandomenico Spezzano & Giancarlo Fortino

  3. LIASD, Paris 8 University, 93526, Saint Denis, France

    Nicolas Jouandeau

  4. DIMES, Università della Calabria, Via P. Bucci, cubo 41c, 87036, Rende, Cosenza, Italy

    Giancarlo Fortino

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  1. Ouarda Zedadra
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  2. Antonio Guerrieri
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  4. Giandomenico Spezzano
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  6. Giancarlo Fortino
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Correspondence to Ouarda Zedadra .

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Editors and Affiliations

  1. Institute for High Performance Computing and Networking (ICAR), National Research Council (CNR), Rende (CS), Italy

    Franco Cicirelli

  2. Institute for High Performance Computing and Networking (ICAR), National Research Council (CNR), Rende (CS), Italy

    Antonio Guerrieri

  3. Institute for High Performance Computing and Networking (ICAR), National Research Council (CNR), Rende (CS), Italy

    Carlo Mastroianni

  4. Institute for High Performance Computing and Networking (ICAR), National Research Council (CNR), Rende (CS), Italy

    Giandomenico Spezzano

  5. Institute for High Performance Computing and Networking (ICAR), National Research Council (CNR), Rende (CS), Italy

    Andrea Vinci

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Zedadra, O., Guerrieri, A., Jouandeau, N., Spezzano, G., Seridi, H., Fortino, G. (2019). Swarm Intelligence and IoT-Based Smart Cities: A Review. In: Cicirelli, F., Guerrieri, A., Mastroianni, C., Spezzano, G., Vinci, A. (eds) The Internet of Things for Smart Urban Ecosystems. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-319-96550-5_8

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