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Impact of Digital Intelligence, Big data and Data analytics on Smart and Sustainable Cities

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Editorial Board
Lead Guest Editors:
  • udendhran mudaliyar (master degree student)
  • Suresh Annamalai ()
Aims & Scope

Smart cities add digital intelligence to existing urban systems, making it possible to do more with less. Connected applications put real-time, transparent information into the hands of users to help them make better choices. These tools can save lives, prevent crime, and reduce the disease burden. They can save time, reduce waste, and even help boost social connectedness. When cities function more efficiently, they also become more productive places to do business. Becoming a smart city is not a goal but a means to an end. The entire point is to respond more effectively and dynamically to the needs and desires of residents. Technology is simply a tool to optimize the infrastructure, resources, and spaces they share. Few cities want to lag behind, but it is critical not to get caught up in technology for its own sake. Smart cities need to focus on improving outcomes for residents and enlisting their active participation in shaping the places they call home. Civilized countries are driving research and development towards greener cities and societies to improve global environmental conditions and to minimize produced pollution. It is not only important to implement different kinds of renewable energy technologies in cities and societies but also it is important to manage the demand and distribution of produced energy to achieve a comprehensive energy solution. A solution that provides green energy for electricity, heating, cooling and transportation needs of communities. A combination of different available renewable energy sources including PV, CPV, CSP, wind, geothermal, tidal, etc. is essential to allow sustainable energy for the cities. 

This special issue provides a platform for researchers and scientists across the world to exchange and share their experiences and research results about all aspects of Big data analytics, IoT, deep learning and image processing and to solve the societal problem to make the world a better place to live in. This special issue also provides an opportunity to interact and establish professional relations for future collaboration to extend the services to the community selflessly. The special issue aims to promote innovations and work of researchers, engineers, students and scientists from across the world on advancement paradigms such as IoT, deep learning and image processing has revolutionized smart cities with their individual robust data management and processing techniques through various hardware and software connectivity processing protocols.  The special issue welcomes researchers and professionals’ contributions related to exploring IoT, deep learning and image processing together in the form of business intelligence strategies, functional frameworks, technological use cases, policies, protocols and services related to technology convergence in smart and sustainable cities (but not limited to):


  • Advancement in energy transmission and distribution techniques to enable lower transmission losses and better energy system integration
  • The impact of business intelligence, big data and data analytics on performance measurement system and performance management practices
  • The new approaches in the decision-making process and performance review
  • Real case studies on the effect of sustainable smart green energy systems on the ecosystem
  • Comparison between different hybrid renewable energy and storage systems to achieve cost-effective and ecosystem friendly solutions for green cities.
  • Robotics systems including collaborative robots, complex robotic cells, interconnection and security issues.
  • Artificial intelligence for design & manufacturing in traditional manufacturing sectors.
  • Protocols for robust communication
  • Security issues
  • Emerging areas in IoT/deep learnings
  • Novel service infrastructure for digital solutions revolution applications
  • State-of-the-art frameworks for smart cities
  • Revolutionary topics in Smart environments (smart homes, transportation, healthcare, etc.)

IoT, Intelligent systems, Artificial intelligence, IoT and big data platform architecture, Big Data and Cloud Computing, Machine learning for IoT, information data analysis

Manuscript submission deadline:
Notification of acceptance:
Submission of final revised paper:
Publication date (tentative):