GE, Mouzhi, Hind BANGUI and Barbora BÜHNOVÁ. Big Data for Internet of Things: A Survey. Future Generation Computer Systems. Elsevier, 2018, vol. 87, No 1, p. 601-614. ISSN 0167-739X. doi:10.1016/j.future.2018.04.053.
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Basic information
Original name Big Data for Internet of Things: A Survey
Authors GE, Mouzhi (156 China, guarantor, belonging to the institution), Hind BANGUI (504 Morocco, belonging to the institution) and Barbora BÜHNOVÁ (203 Czech Republic, belonging to the institution).
Edition Future Generation Computer Systems, Elsevier, 2018, 0167-739X.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 5.768
RIV identification code RIV/00216224:14610/18:00102619
Organization unit Institute of Computer Science
Doi http://dx.doi.org/10.1016/j.future.2018.04.053
UT WoS 000437997500050
Keywords in English Big DataData analytics;Internet of Things;Healthcare;Energy;Transportation;Building automation;Smart Cities
Tags International impact, Reviewed
Changed by Changed by: doc. Ing. RNDr. Barbora Bühnová, Ph.D., učo 39394. Changed: 25/1/2019 08:28.
Abstract
With the rapid development of the Internet of Things (IoT), Big Data technologies have emerged as a critical data analytics tool to bring the knowledge within IoT infrastructures to better meet the purpose of the IoT systems and support critical decision making. Although the topic of Big Data analytics itself is extensively researched, the disparity between IoT domains (such as healthcare, energy, transportation and others) has isolated the evolution of Big Data approaches in each IoT domain. Thus, the mutual understanding across IoT domains can possibly advance the evolution of Big Data research in IoT. In this work, we therefore conduct a survey on Big Data technologies in different IoT domains to facilitate and stimulate knowledge sharing across the IoT domains. Based on our review, this paper discusses the similarities and differences among Big Data technologies used in different IoT domains, suggests how certain Big Data technology used in one IoT domain can be re-used in another IoT domain, and develops a conceptual framework to outline the critical Big Data technologies across all the reviewed IoT domains.
Links
EF16_013/0001802, research and development projectName: CERIT Scientific Cloud
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