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Applied Sciences
Special Issues
Smart City and Multi-Agent Systems
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Smart City and Multi-Agent Systems

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (31 July 2020) | Viewed by 4871

Special Issue Editors

Prof. Dr. Robert Olszewski

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Guest Editor
Faculty of Geodesy and Cartography, Warsaw University of Technology, 00-661 Warsaw, Poland
Interests: geoinformation; computational intelligence; spatial data services; smart city; spatial data mining
Dr. Piotr Pałka

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Guest Editor
The Institute of Control and Computation Engineering, Faculty of Electronics and Information Technology, Warsaw University of Technology, Warsaw, Poland
Interests: multi-agent systems; smart city

Special Issue Information

Dear Colleagues,

There are many ways to interpret the concept of a “smart city”. According to BSI PAS 180:2014, a smart city is “the effective integration of physical, digital and human systems in the built environment to deliver a sustainable, prosperous and inclusive future for its citizens.” In a smart city, public issues are solved using information and communication technologies (ICT) with the engagement of various stakeholders who act in partnership with the city authorities (Manville et al., 2014). Research related to the software agent has been conducted since the 1970s, and some of the promising topics are the modeling of communities and citizens and the infrastructure of urban systems, sensors, and many others using the concept of the agent.

The Special Issue of the journal Applied Sciences, “Smart City and Multi-Agent Systems” aims at a multidimensional debate on the use of multi-agent systems, agent-based modeling, simulation systems for the process of shaping smart cities, and processing and use of data from city sensors, including analysis of various spatial data, both official and social. Furthermore, the Special Issue aims to cover recent advances in the field of citizens’ 'quality-of-life' research using agent-based models, simulation of societies and smart city organizations using holonic systems, research on the emergence behavior in complex societies modeled by the multi-agent system, as well as projects or implementations of applications using the agent programming paradigm.

Prof. Dr. Robert Olszewski
Dr. Piotr Pałka
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Smart city
  • Multi-agent system
  • Agent-based modeling
  • Holonic systems

Published Papers (2 papers)

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Research

31 pages, 3172 KiB  
Article
Artificial Intelligence-Driven Composition and Security Validation of an Internet of Things Ecosystem
by George Hatzivasilis, Nikos Papadakis, Ilias Hatzakis, Sotiris Ioannidis and George Vardakis
Appl. Sci. 2020, 10(14), 4862; https://0-doi-org.brum.beds.ac.uk/10.3390/app10144862 - 15 Jul 2020
Cited by 5 | Viewed by 2567
Abstract
Key challenges in Internet-of-Things (IoT) system design and management include the secure system composition and the calculation of the security and dependability level of the final system. This paper presents an event-based model-checking framework for IoT systems’ design and management, called CompoSecReasoner. It [...] Read more.
Key challenges in Internet-of-Things (IoT) system design and management include the secure system composition and the calculation of the security and dependability level of the final system. This paper presents an event-based model-checking framework for IoT systems’ design and management, called CompoSecReasoner. It invokes two main functionalities: (i) system composition verification, and (ii) derivation and validation of security, privacy, and dependability (SPD) metrics. To measure the SPD values of a system, we disassemble two well-known types of security metrics—the attack surface methodologies and the medieval castle approach. The first method determines the attackable points of the system, while the second one defines the protection level that is provided by the currently composed system-of-systems. We extend these techniques and apply the Event Calculus method for modelling the dynamic behavior of a system with progress in time. At first, the protection level of the currently composed system is calculated. When composition events occur, the current system status is derived. Thereafter, we can deploy reactive strategies and administrate the system automatically at runtime, implementing a novel setting for Moving Target Defenses. We demonstrate the overall solution on a real ambient intelligence application for managing the embedded devices of two emulated smart buildings. Full article
(This article belongs to the Special Issue Smart City and Multi-Agent Systems)
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21 pages, 2996 KiB  
Article
Multiagency Modeling of Transformation Strategies Towards Sustainable Smart Cities
by Dariusz Gotlib, Tomasz Kulisiewicz, Mieczysław Muraszkiewicz and Robert Olszewski
Appl. Sci. 2020, 10(3), 853; https://0-doi-org.brum.beds.ac.uk/10.3390/app10030853 - 25 Jan 2020
Cited by 5 | Viewed by 1952
Abstract
Given the relentless development of intelligent information and communication technology (ICT) systems, a growing need for cities to transform towards smart solutions and, on the other hand, a lack of firm methodological approaches to implement such transformations, the paper contributes to establishing a [...] Read more.
Given the relentless development of intelligent information and communication technology (ICT) systems, a growing need for cities to transform towards smart solutions and, on the other hand, a lack of firm methodological approaches to implement such transformations, the paper contributes to establishing a theory for modeling the transformation of cities towards sustainable, smart cities. The article presents the results of research: a model and a visualization method for supporting cities in elaborating and implementing transformation strategies. The authors’ experience is that intelligible, algorithmizable, and easily visualized models are being sought to assist city authorities in making informed decisions regarding the development of their cities. The paper proposes the concepts of the smartness zone and sustainability corridor, which allow one to devise and visualize the process of a city’s development and transformation in a simple, coherent, and comprehensible way, and to observe and monitor its development path. It presents a new generic instrument for modeling transformation strategies, which are the tools addressed to municipal authorities, analysts, and developers who can use them in order to design, implement, monitor, and optimize transformation strategies towards smart cities. Full article
(This article belongs to the Special Issue Smart City and Multi-Agent Systems)
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