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Special Issue "Emerging Sensors Techniques and Technologies for Intelligent Environments"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: 31 January 2021.

Special Issue Editors

Dr. Ionut Anghel
Website
Guest Editor
Senior researcher at Distributed Systems Research Laboratory; Associate professor at Computer Science Department, Faculty of Automation and Computer Science, Technical University of Cluj-Napoca, 400027, 26-28 Baritiu street, Cluj-Napoca, Romania
Interests: ambient assisted living; smart homes; social robots; green IT; context aware systems
Special Issues and Collections in MDPI journals
Dr. Tudor Cioara
Website
Guest Editor
Senior researcher at Distributed Systems Research Laboratory; Professor at Computer Science Department, Faculty of Automation and Computer Science, Technical University of Cluj-Napoca, 400027, 26-28 Baritiu street, Cluj-Napoca, Romania
Interests: blockchain; smart environments; complex distributed systems; machine learning; energy efficient systems
Special Issues and Collections in MDPI journals
Dr. Marcel Antal
Website
Guest Editor
Researcher at Distributed Systems Research Laboratory; Senior lecturer at Computer Science Department, Faculty of Automation and Computer Science, Technical University of Cluj-Napoca, 400027, 26-28 Baritiu street, Cluj-Napoca, Romania
Interests: IoT; big data analytics; multidisciplinary optimization; complex systems modelling; smart energy grid

Special Issue Information

Dear Colleagues,

The trending techniques, models, algorithms, and technologies for managing indoor and outdoor intelligent environments rely heavily on data acquisition through a diversity of heterogeneous Internet of Things (IoT) devices and sensors. They process and analyze large and heterogeneous streams of data with the general objective of extracting knowledge and making reinforced decisions for adapting to complex events from such environments.
In this context, innovative services supported by sensor-based monitoring can be developed, enabling the intelligent management of smart cities, smart grids, ambient assisted living, factories of the future, logistics chains, etc. These services can also benefit from the emerging promising technologies that can provide the required infrastructure for adding the envisioned intelligence: cloud-based models, deep learning, fog, and edge computing, blockchain, and digital twins.
This Special Issue offers opportunities for publishing innovative solutions, techniques, and technologies for the development and management of intelligent environments. Potential interesting topics for this Special Issue include, but are not limited to, the following:

  • IoT-based indoor or outdoor smart environments;
  • Blockchain-enabled solutions for smart cities and smart grids;
  • Smart grid monitoring, management, and optimization;
  • Fog and edge computing in the IoT;
  • Technologies for age-friendly cities;
  • Ambient assisted living systems;
  • Solutions for industrial IoT and factories of the future;
  • Big data and machine learning techniques;
  • Intelligent transport systems and logistic chains;
  • Intelligent healthcare systems;
  • Local energy communities and demand response.

Dr. Ionut Anghel
Dr. Tudor Cioara
Dr. Marcel Antal
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 papers will be 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. Sensors 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 2000 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.

Published Papers (1 paper)

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Research

Open AccessFeature PaperArticle
Blockchain and Demand Response: Zero-Knowledge Proofs for Energy Transactions Privacy
Sensors 2020, 20(19), 5678; https://doi.org/10.3390/s20195678 - 05 Oct 2020
Abstract
Nowadays, the adoption of demand response programs is still lagging due to the prosumers’ lack of awareness, fear of losing control and privacy of energy data, etc. Programs decentralization, by adopting promising technologies such as blockchain, may bring significant advantages in terms of [...] Read more.
Nowadays, the adoption of demand response programs is still lagging due to the prosumers’ lack of awareness, fear of losing control and privacy of energy data, etc. Programs decentralization, by adopting promising technologies such as blockchain, may bring significant advantages in terms of transparency, openness, improved control, and increased active participation of prosumers. Nevertheless, even though in general the transparency of the public blockchain is a desirable feature in the energy domain, the prosumer energy data is sensitive and rather private, thus, a privacy-preserving solution is required. In this paper, we present a decentralized implementation of demand response programs on top of the public blockchain which deals with the privacy of the prosumer’s energy data using zero-knowledge proofs and validates on the blockchain the prosumer’s activity inside the program using smart contracts. Prosumer energy data is kept private, while on the blockchain it is stored a zero-knowledge proof that is generated by the prosumer itself allowing the implementation of functions to validate potential deviations from the request and settle prosumer’s activity. The solution evaluation results are promising in terms of ensuring the privacy of prosumer energy data stored in the public blockchain and detecting potential data inconsistencies. Full article
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