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Advances in Blockchain and Smart Contracts with Diverse Domains Applications: Second Edition

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

Deadline for manuscript submissions: 31 July 2026 | Viewed by 3366

Special Issue Editor


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Guest Editor
Institute of Electrical and Electronics Engineers, 3 Park Avenue, New York, NY, USA
Interests: software engineering; blockchain; smart contracts; continuous delivery; model-driven development; interoperability
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Blockchain technology is finding an increasing number of applications. Such widespread use of this technology forces the continuous improvement of its components. Smart contracts in particular have been effectively developed. Additionally, existing frameworks are constantly being expanded, and new ones emerge to offer ever-superior performance. Progress is also being made in the area of software engineering. In particular, designing and testing smart contracts attract the attention of researchers. Moreover, the distributed nature of blockchain software may necessitate new architectural views to cover all aspects of blockchain software architecture. The interoperability of blockchain networks adds an even higher level of complexity to the design of that type of solution. This Special Issue also covers the software development process of distributed applications and the deployment of blockchain networks.

This Special Issue, entitled ‘Advances in Blockchain and Smart Contracts with Diverse Domains Applications: Second Edition’, in the Applied Sciences journal, aims to gather recent developments in blockchain and their uses in various fields. Manuscripts with interesting results obtained by researchers from both academia and industry are welcome. Research areas may include (but are not limited to) the following:

- Blockchain;
- Smart contracts;
- Distributed applications (dApps);
- Blockchain network interoperability;
- Blockchain-based software engineering;
- Blockchain network performance;
- Consensus algorithms;
- Blockchain architecture description;
- Smart contract design patterns;
- Smart contract generation;
- Smart contract testing;
- Securing smart contracts;
- AI-enhanced blockchain;
- Innovative blockchain applications.

Dr. Tomasz Górski
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 250 words) can be sent to the Editorial Office for assessment.

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

  • blockchain
  • smart contracts
  • distributed applications (dApps)
  • interoperability
  • software development process
  • software architecture

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Published Papers (2 papers)

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Research

48 pages, 10897 KB  
Article
LabChain: A Modular Laboratory Platform for Experimental Study of Prosumer Behavior in Decentralized Energy Systems
by Simon Johanning, Philipp Lämmel and Thomas Bruckner
Appl. Sci. 2026, 16(2), 600; https://doi.org/10.3390/app16020600 - 7 Jan 2026
Viewed by 356
Abstract
The transition toward decentralized energy systems has amplified interest in peer-to-peer electricity trading. However, research on prosumer behavior in such markets remains fragmented, hindered by a lack of benchmarkable experimental infrastructure. Addressing this gap, the LabChain system was developed—a modular, interactive prototype designed [...] Read more.
The transition toward decentralized energy systems has amplified interest in peer-to-peer electricity trading. However, research on prosumer behavior in such markets remains fragmented, hindered by a lack of benchmarkable experimental infrastructure. Addressing this gap, the LabChain system was developed—a modular, interactive prototype designed to study human behavior in synthetic P2P electricity markets under controlled laboratory conditions. This system integrates real-world technologies, such as blockchain-based transaction backends, flexibility market interfaces, and asset control tools, allowing fine-grained observation of strategic and perceptual dimensions of prosumer activity. The research followed an iterative design approach to develop the infrastructure for experimental energy economics research, and to assess its effectiveness in aligning participant experience with design intentions. Based on the meta-requirements generality, affordance-centric design, and technological grounding, 13 detailed peer-to-peer market, software, and system requirements that allow for system evaluation were developed. As a proof of concept, seven participants simulated prosumer behavior over a week through interaction with the system. Their interaction with the system was analyzed through simulation data and focus group interviews, using a modified thematic content analysis with a hybrid inductive–deductive coding approach. The main achievements are (i) the design and implementation of the LabChain system as a modular infrastructure for P2P electricity market experiments, (ii) the development of an associated experimental workflow and research design, and (iii) its demonstration through an illustrative, proof-of-concept evaluation based on thematic content analysis of a single focus group session focusing on interaction and perceptions. The behavioral results from an initial session are limited, exploratory, and demonstrative in nature and should be interpreted as illustrative only. They nevertheless revealed tension between system flexibility and cognitive usability: while the system supports diverse strategies and market roles, limitations in interface clarity and information feedback constrain strategic engagement. Full article
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21 pages, 1735 KB  
Article
Enhancing Traceability and Reliability in Cold Chain Logistics Through Hyperledger Fabric and IoT
by Elvan Duman and Ebru Aydoğan
Appl. Sci. 2025, 15(22), 12149; https://doi.org/10.3390/app152212149 - 16 Nov 2025
Viewed by 2427
Abstract
Cold chain logistics is a critical process for ensuring product safety and quality assurance; however, existing systems face significant challenges due to centralized data structures, limited transparency, and low reliability. The objective of this study is to develop a blockchain infrastructure based on [...] Read more.
Cold chain logistics is a critical process for ensuring product safety and quality assurance; however, existing systems face significant challenges due to centralized data structures, limited transparency, and low reliability. The objective of this study is to develop a blockchain infrastructure based on Hyperledger Fabric, integrated with IoT technologies, to address these issues. In the proposed system, secure collaboration among producers, carrier, and retailer organizations is achieved through role-based access control and authorization mechanisms, while environmental data collected from IoT sensors are immutably recorded on the blockchain. Performance tests conducted with Hyperledger Caliper demonstrated that the system maintained stable operation even under high transaction loads. In particular, query transactions achieved the most efficient results, reaching 442 transactions per second at a send rate of 500 TPS and 818 transactions per second at a send rate of 1000 TPS, with corresponding average latencies of 0.21 and 0.26 s, respectively. The absence of failed transactions further reinforced the reliability of the system. In addition, scalability experiments were conducted to assess how the system performs as the network expands with additional peer nodes across organizations. The results confirmed that the proposed architecture maintains improved latency and throughput under both intra-organizational and network-wide scaling scenarios. The results demonstrate that the proposed system provides a reliable, transparent, and scalable infrastructure even under low hardware configurations, contributing to the rapid and trustworthy verification of product history and environmental conditions in cold chain applications. Full article
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