A Modeling Study of Sensor Data
Authors
Feng Liu, Jianyong Wang, Ming Liu
Corresponding Author
Feng Liu
Available Online April 2013.
- DOI
- 10.2991/icsem.2013.239How to use a DOI?
- Keywords
- Wireless Sensor Network, Sensor Data Analysis, Data modeling
- Abstract
Nowadays, Internet of Things (IoT) has been becoming a hot research topic. Being an important part of Internet of Things, the wireless sensor networks collect various types of environmental data and construct the fundamental structure of the IoT applications. In order to find out the characteristics of the environmental data, in this paper, we focus on four types of these sensor data: temperature, humidity, light and voltage, and employ statistical methods to analyze and model these sensor data. The results of our research can be used to solve the missing sensor data estimation problem which is inevitable in the wireless sensor networks.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Feng Liu AU - Jianyong Wang AU - Ming Liu PY - 2013/04 DA - 2013/04 TI - A Modeling Study of Sensor Data BT - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013) PB - Atlantis Press SP - 1123 EP - 1126 SN - 1951-6851 UR - https://doi.org/10.2991/icsem.2013.239 DO - 10.2991/icsem.2013.239 ID - Liu2013/04 ER -