期刊
INFORMATION FUSION
卷 52, 期 -, 页码 357-374出版社
ELSEVIER
DOI: 10.1016/j.inffus.2019.05.004
关键词
Data fusion; Sensor fusion; Smart city; Big data; Internet of things; Multi-perspectives classification
资金
- National Research Foundation (NRF) of Singapore via the Green Buildings Innovation Cluster (GBIC)
- SUTD-MIT International Design Center (IDC)
- Natural Science Foundation of China (NSFC) [61750110529, 61850410535]
- Higher Education Commission (HEC) Pakistan [5913]
The advancement of various research sectors such as Internet of Things (IoT), Machine Learning, Data Mining, Big Data, and Communication Technology has shed some light in transforming an urban city integrating the aforementioned techniques to a commonly known term - Smart City. With the emergence of smart city, plethora of data sources have been made available for wide variety of applications. The common technique for handling multiple data sources is data fusion, where it improves data output quality or extracts knowledge from the raw data. In order to cater evergrowing highly complicated applications, studies in smart city have to utilize data from various sources and evaluate their performance based on multiple aspects. To this end, we introduce a multi-perspectives classification of the data fusion to evaluate the smart city applications. Moreover, we applied the proposed multi-perspectives classification to evaluate selected applications in each domain of the smart city. We conclude the paper by discussing potential future direction and challenges of data fusion integration.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据