期刊
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
卷 122, 期 -, 页码 226-237出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jpdc.2018.08.009
关键词
Internet of Things; Smart city; Situation awareness; Edge computing
资金
- Information and Communication Technology Division (ICT Division), Government of the People's Republic of Bangladesh [028.33.077.17-77]
The Internet of Things (IoT) offers a lot of benefits for building smart cities. Such cities will be able to utilize a huge number of heterogeneous loT devices that can generate a sheer volume of data. So, considering this heterogeneity, one of the major challenges in smart cities is how to process this data and identify different situations for decision-makers on the basis of this data. The traditional cloud computing approach can provide enormous computing and storage facilities to support data processing. However, it requires all the data to be moved to the cloud from the edge devices of the user endpoint, thus introducing a high latency. In this paper, we used the edge computing approach to minimize such latency. Besides, as major portion of data is generated from the user endpoint, processing this data in the edge can significantly improve the performance. Our experiment shows that processing raw loT data at the edge devices is effective in terms of latency and provides situational awareness for the decision makers of smart city in a seamless fashion. (C) 2018 Elsevier Inc. All rights reserved.
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