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Future Internet
Special Issues
IoT–Edge–Cloud Computing and Decentralized Applications for Smart Cities
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IoT–Edge–Cloud Computing and Decentralized Applications for Smart Cities

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Network Virtualization and Edge/Fog Computing".

Deadline for manuscript submissions: 30 October 2025 | Viewed by 2716

Special Issue Editors

Dr. Antonis Litke

E-Mail Website
Guest Editor
1. School of Electrical and Computer Engineering, National Technical University of Athens, 157 72 Athens, Greece
2. Division of Mathematics and Engineering, Hellenic Army Academy, 166 73 Athens, Greece
Interests: IoT; edge/cloud computing; blockchains; cybersecurity
Dr. Rodger Lea

E-Mail Website
Guest Editor
School of Computing and Communications, Lancaster University, Bailrigg LA1 4WA, UK
Interests: distributed and mobile computing; systems and middleware; IoT; smart cities; innovation and technology transfer
Dr. Takuro Yonezawa

E-Mail Website
Guest Editor
Graduate School of Engineering, Nagoya University, Nagoya 464-8603, Japan
Interests: distributed systems; human–computer interaction; sensors/actuators technologies

Special Issue Information

Dear Colleagues,

The rapid advancement of the Internet of Things (IoT), edge computing, cloud computing, and decentralized technologies has paved the way for transformative solutions in building smarter and more sustainable cities. With the proliferation of IoT devices, the emergence of edge computing capabilities, and the scalability of cloud infrastructures, smart city initiatives have gained momentum worldwide. Recent research efforts have focused on leveraging these technologies to address pressing urban challenges, such as smart mobility, energy consumption, waste management, and public safety. Despite significant progress, there remain numerous open research questions and technical challenges that need to be addressed to realize the full potential of IoT–edge–cloud computing and decentralized applications in smart cities. This Special Issue seeks to explore novel approaches, methodologies, and practical solutions to tackle these challenges and drive innovation for sustainable and smart cities.

Topics of interest include, but are not limited to, the following:

  • IoT-enabled sensing and monitoring systems for smart cities;
  • Edge computing architectures and platforms for smart city applications;
  • Cloud-based infrastructure and services for smart city deployment;
  • Decentralized and distributed systems for smart city data management and processing;
  • Reliability and fault tolerance for large-scale IoT infrastructures;
  • Security, privacy, and trust issues in IoT-edge-cloud ecosystems for smart cities;
  • AI and machine learning techniques for data analytics in smart city environments
  • Swarm intelligence and robotics for innovative smart city applications;
  • Blockchain and distributed ledger technologies for decentralized smart city applications;
  • Integration of IoT, edge, and cloud technologies in urban mobility and transportation systems;
  • Case studies, demonstrations, and real-world deployments of IoT-edge-cloud solutions in smart cities.

We invite researchers and practitioners from academia and industry to contribute original research articles, review papers, and case studies addressing the aforementioned topics. Submissions should adhere to the journal's guidelines and undergo the standard peer-review process.

Dr. Antonis Litke
Dr. Rodger Lea
Dr. Takuro Yonezawa
Guest Editors

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. Future Internet is an international peer-reviewed open access monthly 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 1600 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

  • internet of things
  • edge and cloud computing
  • smart cities
  • decentralized architectures and applications
  • distributed systems and ledger technologies

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

20 pages, 320 KiB  
Article
CommC: A Multi-Purpose COMModity Hardware Cluster
by Agorakis Bompotas, Nikitas-Rigas Kalogeropoulos and Christos Makris
Future Internet 2025, 17(3), 121; https://doi.org/10.3390/fi17030121 - 11 Mar 2025
Viewed by 467
Abstract
The high costs of acquiring and maintaining high-performance computing (HPC) resources pose significant barriers for medium-sized enterprises and educational institutions, often forcing them to rely on expensive cloud-based solutions with recurring costs. This paper introduces CommC, a multi-purpose commodity hardware cluster designed to [...] Read more.
The high costs of acquiring and maintaining high-performance computing (HPC) resources pose significant barriers for medium-sized enterprises and educational institutions, often forcing them to rely on expensive cloud-based solutions with recurring costs. This paper introduces CommC, a multi-purpose commodity hardware cluster designed to reduce operational expenses and extend hardware lifespan by repurposing underutilized computing resources. By integrating virtualization (KVM and Proxmox) and containerization (Kubernetes and Docker), CommC creates a scalable, secure, and cost-efficient computing environment. The proposed system enables seamless resource sharing, ensuring high availability and fault tolerance for both containerized and virtualized workloads. To demonstrate its versatility, we deploy big data engines like Apache Spark alongside traditional web services, showcasing CommC’s ability to support diverse workloads efficiently. Our cost analysis reveals that CommC reduces computing expenses by up to 77.93% compared to cloud-based alternatives while also mitigating e-waste accumulation by extending the lifespan of existing hardware. This significantly improves environmental sustainability compared to cloud providers, where frequent hardware turnover contributes to rising carbon emissions. This research contributes to the fields of cloud computing, resource management, and sustainable IT infrastructure by providing a replicable, adaptable, and financially viable alternative to traditional cloud-based solutions. Future work will focus on automating resource allocation, enhancing real-time monitoring, and integrating advanced security mechanisms to further optimize performance and usability. Full article
(This article belongs to the Special Issue IoT–Edge–Cloud Computing and Decentralized Applications for Smart Cities)
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19 pages, 693 KiB  
Article
Collision Avoidance Adaptive Data Rate Algorithm for LoRaWAN
by Rachel Kufakunesu, Gerhard P. Hancke and Adnan M. Abu-Mahfouz
Future Internet 2024, 16(10), 380; https://doi.org/10.3390/fi16100380 - 19 Oct 2024
Cited by 2 | Viewed by 1625
Abstract
Long-Range Wide-Area Network (LoRaWAN) technology offers efficient connectivity for numerous end devices over a wide coverage area in the Internet of Things (IoT) network, enabling the exchange of data over the Internet between even the most minor Internet-connected devices and systems. One of [...] Read more.
Long-Range Wide-Area Network (LoRaWAN) technology offers efficient connectivity for numerous end devices over a wide coverage area in the Internet of Things (IoT) network, enabling the exchange of data over the Internet between even the most minor Internet-connected devices and systems. One of LoRaWAN’s hallmark features is the Adaptive Data Rate (ADR) algorithm. ADR is a resource allocation function which dynamically adjusts the network’s data rate, airtime, and energy dissipation to optimise its performance. The allocation of spreading factors plays a critical function in defining the throughput of the end device and its robustness to interference. However, in practical deployments, LoRaWAN networks experience considerable interference, severely affecting the packet delivery ratio, energy utilisation, and general network performance. To address this, we present a novel ADR framework, SSFIR-ADR, which utilises randomised spreading factor allocation to minimise energy consumption and packet collisions while maintaining optimal network performance. We implement a LoRa network composed of a single gateway that connects loads of end nodes to a network server. In terms of energy use, packet delivery rate, and interference rate (IR), our simulation implementation does better than LoRaWAN’s legacy ADR scheme for a range of application data intervals. Full article
(This article belongs to the Special Issue IoT–Edge–Cloud Computing and Decentralized Applications for Smart Cities)
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