SPECIAL ISSUES
Information Processing Systems for Sustainable Development for Smart Cities
2024.09.25
Information processing systems are crucial for the sustainable functioning of smart cities. These systems collect, analyze and integrate data from various sources, such as traffic sensors, energy grids, utility networks, public transportation systems, environmental monitoring stations and citizen feedback systems. The data is then used to inform decision-making and optimize city operations, promoting environmental, social and economic sustainability. Key benefits of information processing systems for sustainable development in smart cities include improved resource efficiency, enhanced public services, reduced traffic congestion, citizen engagement and economic development.
Moreover, some of the key technologies used to develop information processing systems for sustainable development in smart cities include the Internet of Things (IoT), big data, artificial intelligence (AI) and cloud computing. Here, IoT devices collect data about the environment and city infrastructure performance while big data collects, stores and analyzes large and complex datasets to identify trends and patterns in city data. AI can automate tasks like optimizing traffic flows and predicting energy demand, while cloud computing provides a platform for storing and managing the vast amounts of data generated by smart city systems. By leveraging these technologies, smart cities can attract businesses and investment, contribute to the sustainability of their cities, and ultimately contribute to a more efficient and sustainable environment.
Even though, smart cities are transforming the way they manage and utilize data, they also face challenges such as data privacy and security, a digital divide, cost and complexity, integration challenges, standardization and governance. Data privacy and security are crucial, and cities need robust cybersecurity measures to protect against cyberattacks. Further, developing and implementing information processing systems for smart cities can be expensive and complex, and cities need to find ways to fund and implement them effectively. Integration challenges can hinder a holistic view of city operations and develop effective sustainability strategies. Standardization for data collection and communication protocols can also hinder the development of interoperable smart city systems. Despite these challenges, smart cities can create more livable, equitable and resilient urban environments for all. This special issue on Information Processing Systems for Sustainable Development for Smart Cities aims to explore the intersection of technology, sustainability, and urban development. It seeks to investigate innovative approaches, methodologies, and applications of information processing systems in the context of smart cities to address sustainability challenges.
SUBJECT COVERAGE
Related Topics:
- ● Integrating renewable energy sources into smart city information processing systems for sustainable urban development.
- ● Enhancing data analytics frameworks to optimize resource allocation in smart city infrastructure for sustainability.
- ● Exploring edge computing solutions for real-time monitoring and management of urban environmental parameters.
- ● Role of Internet of Things (IoT) in facilitating efficient waste management strategies in smart cities.
- ● Impact of artificial intelligence (AI) on traffic management systems for reducing carbon emissions.
- ● Designing resilient information processing architectures to mitigate cybersecurity risks in sustainable smart city initiatives.
- ● Blockchain technology for transparent and decentralized governance in smart city sustainability projects.
- ● Socio-economic implications of implementing sustainable information processing systems in urban environments.
- ● Role of cloud computing in scaling up data-intensive applications for smart city sustainability.
- ● Smart grid infrastructure for efficient energy distribution and consumption in sustainable urban settings.
- ● Addressing privacy concerns in data collection and utilization for sustainable development in smart cities.
- ● Geospatial data analytics for urban planning and land-use optimization in sustainable smart cities.
SUBMISSION GUIDELINE
Papers must be submitted to the Manuscript Link service - https://www.manuscriptlink.com/journals/jips.
It is important that authors should select "JIPS Survey / Special Issue" and " Information Processing Systems for Sustainable Development for Smart Cities" when they reach the "Basic Information" step in the
submission process. Before submitting papers, you need to read the JIPS submission guideline.
Notification of APC
US $890 or KRW 940,000
- Additional Fee: KRW 100,000 (US$100) per page (within 4 pages)
- Remark: The size must be within 11 pages including a photo and a profile (refer to the sample paper format).
GUEST EDITORS
Dr.Uzair Aslam Bhatti,
School of Information and Communication Engineering, Hainan University, China.
Dr. Muhammad Asim Saleem,
Center of Excellence in Artificial Intelligence, Machine Learning and Smart Grid Technology,
Department of Electrical Engineering, Chulalongkorn University, Thailand
Dr. Maqbool Khan,
Pak-Austria Fachhochschule-Institute of Applied Sciences and Technology, Pakistan
Dr. Sibghat Ullah Bazai,
Department of Computer Engineering,
Balochistan University of Information Technology Engineering and Management Sciences,
Quetta, Pakistan
Dr. Yonis Gulzar,
Department of Management Information Systems, King Faisal University, Saudi Arabia
Important Dates
- - Submission Deadline: September 25, 2024 → November 15, 2024
- - Authors Notification: November 30, 2024 → December 15, 2024
- - Revised Version Submission: January 25, 2025
- - Final Decision Notification: April 30, 2025
- -Publication: As per the policy of journal
Indexing
All publications of JIPS are indexed in ESCI (a new Web of Science index of Thomson Reuters), SCOPUS, DOI, DBLP, EI COMPENDEX, EBSCO, Google Scholar, and Crossref.
JIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
