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Electronics
Special Issues
Blockchain and IoT Enabled Smart Grids
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Blockchain and IoT Enabled Smart Grids

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 9875

Special Issue Editors

Dr. Vidyasagar Potdar

E-Mail Website
Guest Editor
Blockchain R&D Laboratory, Curtin University, Bentley 6102, Australia
Interests: blockchain; smart grids; cyber security; wireless sensor networks; IoT
Special Issues, Collections and Topics in MDPI journals
Dr. Yuan Tian

E-Mail Website
Guest Editor
School of Computer Engineering, Nanjing Institute of Technology, Nanjing 211167, China
Interests: cyber security; applied cryptography; multimedia security; privacy protection; biometrics; security management; location based service; cloud computing security
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Blockchain technology is a disruptive technology that used the peer-to-peer ledger to immutably record transactions and generated a digital tamper-proof ledger. Historical transactions are safely stored forever and can be used as evidence when required. Blockchain technology offers transparency (as an open ledger), immutability, traceability, and smart contracts that create new opportunism in different industry sectors. Blockchain was initially adopted by the banking and finance sector, but now several other industries use it, such as mining, supply chain, healthcare, agriculture, etc. 

Smart grid is an area where blockchain technology is changing the landscape. Peer-to-peer energy trading is now becoming a reality with distributed blockchain technology implementations. Many countries are exploring these novel opportunities to build their energy infrastructure using blockchain platforms. There are several areas where blockchain can streamline energy management, such as energy trading, decentralised energy infrastructure, prosumer communities, electric vehicles charging and discharging, and prosumer energy sharing and management.

Thus, this Special Issue seeks high-quality articles focussing at the intersection of smart grids, IoT and blockchain by solving the following key topics (but not limited to):

  • Blockchain–IoT-enabled sensor networks for smart grids;
  • Smart contacts in the blockchain–IoT ecosystem for smart grids;
  • Security and privacy of smart grid data and management using blockchain;
  • Sensor data fusion and real-time energy management via blockchain;
  • Smart grid provisioning based on the blockchain–IoT architecture;
  • Deployment of IoT-based sensor-data management in smart grids;
  • Machine learning and deep learning algorithms for blockchain and IoT driven smart grids;
  • Fog/edge/cloud /dew computing-based techniques for IoT and blockchain-based smart grids;
  • Development of novel cryptocurrencies for IoT–blockchain-enabled smart grid platforms.

Dr. Vidyasagar Potdar
Dr. Yuan Tian
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. Electronics 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
  • Distributed ledger
  • Prosumers
  • Prosumer communities
  • Internet of Things
  • Smart sensor
  • Pervasive sensor system 
  • Consensus
  • Smart Grids 
  • Distributed energy resources
  • Virtual power plants

Published Papers (2 papers)

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Research

14 pages, 2498 KiB  
Article
Cloud Storage Strategy of Blockchain Based on Genetic Prediction Dynamic Files
by Jiali Tang, Chenrong Huang, Huangxiaolie Liu and Najla Al-Nabhan
Electronics 2020, 9(3), 398; https://doi.org/10.3390/electronics9030398 - 28 Feb 2020
Cited by 2 | Viewed by 2670
Abstract
With the rapid expansion of data volume, traditional data storage methods have been unable to meet the practical application requirements of blockchain cloud storage. Aiming for the cloud storage problem of blockchain, a new storage access method for predicting dynamic file load is [...] Read more.
With the rapid expansion of data volume, traditional data storage methods have been unable to meet the practical application requirements of blockchain cloud storage. Aiming for the cloud storage problem of blockchain, a new storage access method for predicting dynamic file load is proposed. By predicting the load status of cloud storage files in advance, the load of each blockchain data node at the next moment is first estimated. A hierarchical genetic algorithm is used to construct the connection weights between the hidden layer and the output layer, which makes the data network converge faster and more accurate, thereby effectively predicting the node load. In addition, based on the file allocation, an evaluation analysis model is constructed to obtain the time response capability of each file during the allocation process. The node’s periodic load prediction value is used to calculate the corresponding weight of the node and it is continuously updated, retaining the advantages of the static weighted polling algorithm. Combined with the genetic algorithm to help predict the file assignment access strategy of the later load of each node, it can meet the system requirements under complex load conditions and provide a reasonable and effective cloud storage method. The experimental evaluation of the proposed new strategy and new algorithm verifies that the new storage method has a faster response time, more balanced load, and greatly reduced energy consumption. Full article
(This article belongs to the Special Issue Blockchain and IoT Enabled Smart Grids)
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29 pages, 1433 KiB  
Article
A Lightweight Blockchain Based Framework for Underwater IoT
by Md Ashraf Uddin, Andrew Stranieri, Iqbal Gondal and Venki Balasurbramanian
Electronics 2019, 8(12), 1552; https://doi.org/10.3390/electronics8121552 - 16 Dec 2019
Cited by 45 | Viewed by 6570
Abstract
The Internet of Things (IoT) has facilitated services without human intervention for a wide range of applications, including underwater monitoring, where sensors are located at various depths, and data must be transmitted to surface base stations for storage and processing. Ensuring that data [...] Read more.
The Internet of Things (IoT) has facilitated services without human intervention for a wide range of applications, including underwater monitoring, where sensors are located at various depths, and data must be transmitted to surface base stations for storage and processing. Ensuring that data transmitted across hierarchical sensor networks are kept secure and private without high computational cost remains a challenge. In this paper, we propose a multilevel sensor monitoring architecture. Our proposal includes a layer-based architecture consisting of Fog and Cloud elements to process and store and process the Internet of Underwater Things (IoUT) data securely with customized Blockchain technology. The secure routing of IoUT data through the hierarchical topology ensures the legitimacy of data sources. A security and performance analysis was performed to show that the architecture can collect data from IoUT devices in the monitoring region efficiently and securely. Full article
(This article belongs to the Special Issue Blockchain and IoT Enabled Smart Grids)
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