Big Data and Internet of Things in Smart Cities

A special issue of Big Data and Cognitive Computing (ISSN 2504-2289).

Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 2101

Special Issue Editors


E-Mail Website
Guest Editor
Information Security and Applied Computing Department, Eastern Michigan University, Ypsilanti, MI, USA
Interests: cybersecurity; IoT; machine learning
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Computer Science, Jordan University of Science and Technology, Irbid, Jordan
Interests: cybersecurity; IoT; fuzzy logic; machine learning

Special Issue Information

Dear Colleagues,

With this big evolution in technology and the huge amount of data transferred and traveling around the global Internet, a demand beyond automation has appeared in this world. The new demands focused on the ability of machines to be more smart and dependable in making decisions without human interference. Controlling many venues (health, education, power, etc. ) in our life based on the data generated and collected from several sources and machine algorithms have become an essential part of this digital world. Based on all of that, the Internet of Things (IoT) has appeared as a new branch of science to merge several technologies such as automation, machine learning, networking, big data analysis networking, and cloud computing to facilitate machine-making decisions without human interference. 

The aim of this Special Issue is to attract qualified contributions in the area of IoT when it is applied to smart cities. This contribution includes, but is not limited to:

  • Internet of Medical Things (IoMT).
  • IoT in smart home and smart city applications.
  • IoT for modern vehicle technology, autonomous systems, and self-driving.
  • Machine learning techniques and deep learning solutions for IoT technologies.
  • Internet of Things for engineering for real word applications.
  • IoT in cryptography and blockchain technology.
  • IoT for aviation and delivery drone systems.
  • IoT in power-saving technologies.

Dr. Omar Darwish
Dr. Yahya Tashtoush
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. Big Data and Cognitive Computing 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 1800 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

  • IoT
  • smart cities
  • embedded systems
  • robotics
  • automation
  • machine learning
  • networking
  • big data analysis networking
  • cloud computing

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

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

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Review

47 pages, 2104 KiB  
Review
Exploring IoT and Blockchain: A Comprehensive Survey on Security, Integration Strategies, Applications and Future Research Directions
by Muath A. Obaidat, Majdi Rawashdeh, Mohammad Alja’afreh, Meryem Abouali, Kutub Thakur and Ali Karime
Big Data Cogn. Comput. 2024, 8(12), 174; https://doi.org/10.3390/bdcc8120174 - 28 Nov 2024
Viewed by 787
Abstract
The rise of the Internet of Things (IoT) has driven significant advancements across sectors such as urbanization, manufacturing, and healthcare, all of which are focused on enhancing quality of life and stimulating the global economy. This survey offers an in-depth analysis of the [...] Read more.
The rise of the Internet of Things (IoT) has driven significant advancements across sectors such as urbanization, manufacturing, and healthcare, all of which are focused on enhancing quality of life and stimulating the global economy. This survey offers an in-depth analysis of the integration of blockchain technology with IoT, addressing aspects such as architectural alignment, applications, security, limitations, scalability, and latency. Moreover, this survey focuses on security, integration techniques, and future research directions. The primary contributions of this review include a taxonomy of security concerns specific to IoT, an analysis of integration methods, and insights into consensus mechanisms suitable for resource-constrained environments. These findings highlight the unique challenges and opportunities in IoT–blockchain integration, providing a foundation for advancing secure and scalable IoT applications. By exploring consensus mechanisms and resource-constrained deployments, this paper provides a framework for developing secure and efficient IoT applications utilizing blockchain technology and providing a basis for future research and practical applications. In addition, this survey investigates innovative trends, including AI-driven blockchain for IoT. Full article
(This article belongs to the Special Issue Big Data and Internet of Things in Smart Cities)
Show Figures

Figure 1

Back to TopTop