Analysis of Scientific Production of IoE Big Data Research

被引：1
|
作者：
Kaur, Jaswinder [1 ]
Wongthongtham, Pornpit [1 ]
Abu-Salih, Bilal [1 ]
Fathy, Sogand [2 ]
机构：
[1] Curtin Univ, Perth, WA, Australia
[2] Victoria Univ, Sydney, NSW, Australia
来源：
2018 32ND INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS (WAINA) | 2018年
关键词：
Internet of Everything; Big Data; INTERNET; SYSTEM;
D O I：
10.1109/WAINA.2018.00173
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The investment on the Internet of Everything is increasing exponentially. This new global technological approach opens the doors for connecting everything and anything. Such massive propagation of Big Data generated from a wide variety of sensors requires consolidated efforts to put forward solutions to address specific related business problems and needs. The aim of this paper is to provide a systematic review of the state-of-the-art scientific research on the Internet of Everything and Big Data. Top 20 journals are selected in this study comprising 112 articles in the domain. The paper discusses the results of affiliation analysis, keyword statistics, source statistics, citation analysis and co-citation analysis. The conclusion of this literature review suggests future opportunities and research directions in the era of the Internet of Everything and Big Data.
引用
收藏
页码：715 / 720
页数：6
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