Efficient IoT-based sensor BIG Data collection-processing and analysis in smart buildings

被引:362
|
作者
Plageras, Andreas P. [1 ]
Psannis, Kostas E. [1 ]
Stergiou, Christos [1 ]
Wang, Haoxiang [2 ]
Gupta, B. B. [3 ]
机构
[1] Univ Macedonia, Sch Informat Sci, Dept Appl Informat, Thessaloniki, Greece
[2] Cornell Univ, GoPercept Lab, Ithaca, NY 14853 USA
[3] Natl Inst Technol Kurukshetra, Kurukshetra, Haryana, India
来源
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2018年 / 82卷
关键词
Internet of Things; Cloud Computing; Big Data; Smart Building; Sensor management; Energy efficiency; Data collection; Contiki OS; SERVICES; INTERNET;
D O I
10.1016/j.future.2017.09.082
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Internet of Things (IoT) provides to everyone new types of services in order to improve everyday life. Through this new technology, other recently developed technologies such as Big Data, Cloud Computing, and Monitoring could take part. In this work, we survey the four aforementioned technologies in order to find out their common operations, and combine their functionality, in order to have beneficial scenarios of their use. Despite the boarder concept of a smart city, we will try to investigate new systems for collecting and managing sensors' data in a smart building which operates in IoT environment. As a bases technology for the proposed sensor management system, a cloud server would be used, collecting the data that produced from each sensor in the smart building. These data are easy to be managed and controlled from distance, by a remote (mobile) device operating on a network set up in IoT technology. As a result, the proposed solutions for collecting and managing sensors' data in a smart building could lead us in an energy efficient smart building, and thus in a Green Smart Building. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:349 / 357
页数:9
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