IoT-Based Systems for Resilient Smart Cities

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Internet of Things (IoT)".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 895

Special Issue Editors


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Guest Editor
ENEA National Agency for New Technologies, Energy and Sustainable Economic Development, 00196 Rome, Italy
Interests: tools for risk assessment and resilience of critical infrastructures to natural hazards; ontologies; knowledge graphs; IoT system architectures for public security; smart cities
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
ENEA-Centro Ricerche Casaccia, Via Anguillarese 301, 00123 Rome, Italy
Interests: Artificial Intelligence; computational creativity; linked data; ontology; ontology engineering; crisis management; resilience; risk assessment; smart city
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The IoT and, more generally, sensor-based systems provide the building blocks for the majority of smart city applications, spanning from domain-specific support services, such as for mobility, home, economy, health, and infrastructure, to large-scale and interoperable networked systems realized using local digital twin hubs. Thus, safety and security are among the requirements to be addressed for many of these systems during development and runtime.

IoT-based systems specifically devoted to urban security and safety are of great interest for smart cities, with challenges related to real-time requirements, accuracy, scalability, and dependability, given the many uncertainties in terms of data and events.

These aspects should be managed and assessed at both the conceptual and architectural levels and by accounting for the smartness degree of the embedded software technology to support increased types of autonomy in activities such as problem solving and decision making. The combination of the IoT and artificial intelligence to produce smart city applications aimed at improving resilience poses new social challenges, intertwined with security and safety issues, such as trust, ethics, and data protection, which require systemic and multidisciplinary system quality assessment.

This Special Issue aims to provide a new outlook on the models, methods, innovative technologies, and cutting-edge implementations for safe and secure cities. These include applications such as monitoring systems based on sensor, drone, and/or satellite data or data-intensive urban platforms, and approaches and techniques for safety analysis and assessment. It solicits research papers, experience-based papers, and comprehensive literature reviews and surveys on approaches for smart city safety and security.

Dr. Maria Luisa Villani
Dr. Antonio De Nicola
Guest Editors

Manuscript Submission Information

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Keywords

  • IoT systems architectures for urban security
  • safety and security assessment of IoT systems
  • multisensor data fusion for safety-critical systems
  • middleware for real-time IoT-based applications
  • software engineering for local digital twins
  • model-based engineering of safety-critical IoT systems
  • dependability of autonomous systems for smart cities
  • semantic sensor networks and knowledge graphs for resilient cities
  • ontologies for resilient IoT systems
  • image and video processing for urban security
  • real-time and predictive monitoring of IoT-based applications for critical infrastructure
  • augmented reality for safety and security
  • formal verification of dependability requirements for the IoT
  • Artificial Intelligence and the IoT for threat detection systems
  • resilience of IoT systems
  • modeling and simulation for IoT systems
  • business intelligence methods for assessment of IoT systems
  • big data management
  • new technology for command and control
  • webGIS and data-driven user interfaces for real-time monitoring of the IoT
  • blockchain technology for IoT systems
  • cybersecurity assessment for IoT systems

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Published Papers (1 paper)

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20 pages, 516 KiB  
Systematic Review
Roadmap for Implementing Business Intelligence Systems in Higher Education Institutions: Systematic Literature Review
by Romeu Sequeira, Arsénio Reis, Paulo Alves and Frederico Branco
Information 2024, 15(4), 208; https://doi.org/10.3390/info15040208 - 07 Apr 2024
Viewed by 645
Abstract
Higher education institutions (HEIs) make decisions in several domains, namely strategic and internal management, without using systematized data that support these decisions, which may jeopardize the success of their actions or even their efficiency. Thus, HEIs must define and monitor strategies and policies [...] Read more.
Higher education institutions (HEIs) make decisions in several domains, namely strategic and internal management, without using systematized data that support these decisions, which may jeopardize the success of their actions or even their efficiency. Thus, HEIs must define and monitor strategies and policies essential for decision making in their various areas and levels, in which business intelligence (BI) plays a leading role. This study presents a systematic literature review (SLR) aimed at identifying and analyzing primary studies that propose a roadmap for the implementation of a BI system in HEIs. The objectives of the SLR are to identify and characterize (i) the strategic objectives that underlie decision making, activities, processes, and information in HEIs; (ii) the BI systems used in HEIs; (iii) the methods and techniques applied in the design of a BI architecture in HEIs. The results showed that there is space for developing research in this area since it was possible to identify several studies on the use of BI in HEIs, although a roadmap for its implementation was not identified, making it necessary to define a roadmap for the implementation of BI systems that can serve as a reference for HEIs. Full article
(This article belongs to the Special Issue IoT-Based Systems for Resilient Smart Cities)
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