Towards Sustainable Smart City via Resilient Internet of Things

Kwok Tai Chui, Patricia Ordóñez de Pablos, Chien wen Shen, Miltiadis D. Lytras, Pandian Vasant

研究成果: 書貢獻/報告類型篇章同行評審

摘要

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.

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主出版物標題Contributions to Management Science
發行者Springer Science and Business Media Deutschland GmbH
頁面117-135
頁數19
DOIs
出版狀態已出版 - 2022

出版系列

名字Contributions to Management Science
ISSN(列印)1431-1941
ISSN(電子)2197-716X

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