Advances in System Design and IoT Based Smart City
A special issue of Big Data and Cognitive Computing (ISSN 2504-2289).
Deadline for manuscript submissions: 1 March 2025 | Viewed by 157
Special Issue Editors
Interests: Internet of Things; smart cities; smart contracts; security issues in IoTs; big data; machine learning
Special Issue Information
Dear Colleagues,
The rapid advancement of technology has escorted in an era of interconnectedness, paving the way for the development of smart cities. This Special Issue aims to explore the latest innovations and research breakthroughs in system design and the Internet of Things (IoT) within the context of smart cities. It seeks to foster interdisciplinary discussions and collaborations among researchers, practitioners, and policymakers to address the complex challenges and opportunities associated with the transformation of urban environments into smart and sustainable ecosystems. Through innovative solutions, we aim to foster sustainable and inclusive urban development, driving forward the agenda of smart cities.
In today's rapidly evolving urban landscape, a multidisciplinary approach combining big data, machine learning, and deep learning is essential for advancing the development of smart cities. This Special Issue explores the intersection of these fields within the context of system design and IoT-based solutions. Topics may include interdisciplinary research on leveraging big data analytics for optimizing energy management systems, employing machine learning algorithms for traffic prediction and optimization, and utilizing deep learning techniques for enhancing healthcare services in smart cities. By fostering collaboration across disciplines, we aim to drive innovation and address complex urban challenges, ultimately paving the way for more sustainable and resilient cities of the future.
This Special Issue aims to provide a comprehensive platform for researchers, practitioners, and policymakers to explore the latest advancements in system design and IoT-based solutions for smart cities, with a specific emphasis on the integration of big data, machine learning, and deep learning technologies. The primary objectives of this Special Issue are to showcase cutting-edge research and innovative approaches in the design, development, and implementation of smart city systems and IoT solutions. It seeks to address key urban challenges by harnessing big data analytics, machine learning, and deep learning techniques while fostering interdisciplinary discussions on urban planning, infrastructure management, transportation, healthcare, energy, and environmental sustainability. Furthermore, this Special Issue aims to inform policy and decision-making by providing insights and best practices for promoting sustainable and inclusive urban development. Lastly, it endeavors to promote the development of scalable and interoperable solutions adaptable to diverse urban contexts, effectively meeting the evolving needs of urban populations.
By showcasing innovative research and practical applications in system design and IoT-based solutions, this Special Issue contributes to advancing the Big Data and Cognitive Computing journal's mission of promoting sustainable and intelligent urban development through the use of data-driven approaches.
Suggest themes:
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Data-driven Urban Planning and Designs for Smart Cities;
- Smart Mobility Solutions;
- Healthcare Innovations in Smart Cities;
- Energy Efficiency and Sustainability;
- Smart Grid Technologies;
- Resilience and Disaster Management in Smart Cities;
- IoT based Urban Environmental Monitoring;
- IoT-enabled Infrastructure Management;
- Digital Governance and Engagement in Smart Cities;
- Security and Privacy in Smart Cities.
We look forward to receiving your contributions.
Dr. Syed Attique Shah
Dr. Muhammad Mazhar Ullah Rathore
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
- smart cities
- IoT
- big data analytics
- machine learning
- urban planning
- sustainability
- resilience
- digital governance
- healthcare
- security
