Innovative IoT Solutions for Sustainable Smart Cities

A special issue of Smart Cities (ISSN 2624-6511).

Deadline for manuscript submissions: 30 June 2026 | Viewed by 1624

Special Issue Editors


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Guest Editor
Department of Computer Science, University of Salerno, 84084 Salerno, Italy
Interests: software engineering; knowledge management; Industry 4.0

Special Issue Information

Dear Colleagues,

The changes that will occur on a global scale in the coming decades will bring unprecedented challenges in terms of environmental, economic, and social sustainability. Cities will, on the one hand, be called upon to take more effective action to mitigate the effects of climate change and promote responsible use of resources. Digital platforms, on the other hand, will need to offer new solutions and services based on the widespread use of IoT technologies and cyber–physical–social systems.

This Special Issue of Smart Cities focuses on innovative solutions for sustainable smart cities, leveraging IoT, 5G/6G, edge computing, AI, and CPSS technologies with the aim of reducing environmental impact while improving quality of life, promoting the economic and social well-being of citizens, and ensuring the protection of cultural heritage.

I am pleased to invite research contributions to this Special Issue on methodologies for the design and impact assessment of new socio-technical systems for resilience and sustainability. The topics of interest include, but are not limited to, IoT and CPSS architectures for sustainable smart cities, mobility as a service that involves the integration of multiple public and private transport services accessible through a single digital channel, smart tourism and destination management, the protection of cultural heritage, smart energy, and smart healthcare.

Dr. Giancarlo Nota
Prof. Dr. Giancarlo Fortino
Guest Editors

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Keywords

  • IoT e CPSS for sustainable smart cities
  • mobility as a service
  • cultural heritage
  • smart energy
  • smart healthcare
  • environmental sustainability
  • cybersecurity

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Published Papers (2 papers)

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Research

24 pages, 2301 KB  
Article
Semantic Core for Sensor Telemetry Ingestion for Digital Twins
by Oleksandr Osolinskyi, Khrystyna Lipianina-Honcharenko and Myroslav Komar
Smart Cities 2026, 9(5), 77; https://doi.org/10.3390/smartcities9050077 - 28 Apr 2026
Viewed by 96
Abstract
Digital twin platforms for smart cities must continuously receive different types of data from sensors, gateways, and services, but in real situations these data are heterogeneous in terms of indicator names, measurement units, time rules, and object identification, which makes integrations expensive and [...] Read more.
Digital twin platforms for smart cities must continuously receive different types of data from sensors, gateways, and services, but in real situations these data are heterogeneous in terms of indicator names, measurement units, time rules, and object identification, which makes integrations expensive and fragile, while second verification becomes complicated. In this paper, a minimal semantic core for “first-stage” telemetry receiving of the DTwin platform, where semantics are used as operational rules during data ingestion. The core includes a machine-readable model of entities and relationships, dictionaries of metrics and measurement units, a unified event format with separation into a stable envelope and payload, formal validation against data schemas, a mapping table for transforming raw fields into standardized measurements [name, value, unit], as well as an ingestion service with canonicalization of the event record and integrity control through the SHA-256 cryptographic hash. The implementation ensures ingestion of correct events, rejection of incorrect ones without recording, and reproducible verification through control examples, a testing protocol, and evidence snapshots. In smart city settings, such a telemetry ingestion foundation can support reliable monitoring of municipal buildings and infrastructure, including energy efficiency, indoor environmental quality, and data-driven operational decision-making. The proposed approach establishes a core for the stable integration of different sensor data into digital twins and further scaling of the platform. Full article
(This article belongs to the Special Issue Innovative IoT Solutions for Sustainable Smart Cities)
22 pages, 8969 KB  
Article
Smart Sensing in Italian Historic City Centers: The Liminal Environmental Monitoring System (LEMS)
by Valentina Diolaiti, Leonardo Sollazzo, Giulio Mangherini, Nazim Aslam, Diego Bernardoni, Marta Calzolari, Pietromaria Davoli, Valentina Modugno and Donato Vincenzi
Smart Cities 2026, 9(1), 14; https://doi.org/10.3390/smartcities9010014 - 20 Jan 2026
Viewed by 684
Abstract
Historic city centers host dense ensembles of heritage buildings where conservation goals must coexist with sustainable and smart urban development, yet the semi-outdoor “liminal” spaces of these complexes, such as cloisters, loggias and courtyards, are rarely included in microclimate monitoring networks. This study [...] Read more.
Historic city centers host dense ensembles of heritage buildings where conservation goals must coexist with sustainable and smart urban development, yet the semi-outdoor “liminal” spaces of these complexes, such as cloisters, loggias and courtyards, are rarely included in microclimate monitoring networks. This study develops and tests the Liminal Environmental Monitoring System (LEMS), a flexible environmental data acquisition architecture designed for long-term monitoring in such spaces. The LEMS is based on a custom, low-cost data acquisition board able to handle multiple analogue and digital sensors, combined with a daisy-chain communication layout using the MODBUS RS485 protocol and a commercial datalogger as master, in order to meet the technical and visual constraints of historic buildings. Board calibration and sensor characterisation are reported, and the system is deployed in the cloister of Palazzo Costabili, a renaissance complex in the historic city center of Ferrara (Italy). This case study illustrates how the LEMS captures spatial and temporal variation in air temperature, relative humidity and solar irradiance and how an annual solar-shading indicator derived from 3D ray-tracing simulations supports the interpretation of irradiance measurements. The results indicate that the LEMS is a viable tool for heritage-compatible microclimate monitoring and can be adapted to other historic courtyards and loggias. Full article
(This article belongs to the Special Issue Innovative IoT Solutions for Sustainable Smart Cities)
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