A Modeling Study of Sensor Data

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/).

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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  -