TY - CHAP
T1 - Towards Sustainable Smart City via Resilient Internet of Things
AU - Chui, Kwok Tai
AU - Ordóñez de Pablos, Patricia
AU - Shen, Chien wen
AU - Lytras, Miltiadis D.
AU - Vasant, Pandian
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Automation
KW - Incremental learning
KW - Internet of things
KW - Resilience
KW - Smart city
KW - Sustainable development
UR - http://www.scopus.com/inward/record.url?scp=85126700399&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-85954-1_8
DO - 10.1007/978-3-030-85954-1_8
M3 - Chapter
AN - SCOPUS:85126700399
T3 - Contributions to Management Science
SP - 117
EP - 135
BT - Contributions to Management Science
ER -