• Login
    View Item 
    •   Home
    • Computer Science
    • Faculty Research and Publications
    • Book Chapters
    • View Item
    •   Home
    • Computer Science
    • Faculty Research and Publications
    • Book Chapters
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of Effat University RepositoryCommunitiesPublication DateAuthorsTitlesSubjectsPublisherJournalTypeDepartmentThis CollectionPublication DateAuthorsTitlesSubjectsPublisherJournalTypeDepartmentProfilesView

    My Account

    Login

    Statistics

    Display statistics

    Towards Sustainable Smart City via Resilient Internet of Things

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Author
    Lytras, Miltiadis cc
    Kwok Tai Chui
    Patricia Ordóñez de Pablos
    Chien-wen Shen
    Pandian Vasant
    Subject
    Automation
    Artificial Intelligence
    Internet of Things
    Date
    2022-03-11
    
    Metadata
    Show full item record
    Abstract
    Every day, 2.5 quintillion bytes of data are generated which is an unimaginable figure to human beings and even machine. To achieve the global smart city vision, automation, resilience, and sustainable development are crucial elements. This chapter focuses on resilient Internet of Things that links individuals and sensing devices which forms the foundation of data collection and provides ground truth of information. With the tremendous growth of primary data volumes and diversity in every domain, they have played an ever more crucial role in enabling researchers and enterprises to formulate processing and analysis methods to extract latent information from multiple data resources and to leverage a broad range of data management and analytics platforms. We have been witnessed the successful technology story of artificial intelligence in various applications. However, resilient and sustainable development has not yet fully integrated into artificial intelligence applications. It requires automated update and improvement of trained machine learning model with the ever-increasing data. This chapter is organised as follows. Firstly, a systematic review of the existing works of resilience and sustainability for smart city is presented. This is followed by a comparison of IoT solutions in software and hardware perspective. Various future research directions and conceptual study of smart city application are discussed.
    Department
    Computer Science
    Publisher
    Springer International Publishing
    Book title
    Resilience in a Digital Age: Global Challenges in Organisations and Society
    Collections
    Book Chapters

    entitlement

     
    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.