Flexible WSNs Aims Easy Installation With Noise Reduce Method For Elderly People Care

DOI

10.2991/ijndc.2013.1.3.6How to use a DOI?

Keywords

Wireless Sensor Networks, M2M, Bayesian Network, Anomaly Detection

Abstract

Much research has been conducted on anomaly detection by wireless sensor networks (WSNs). The existing WSNs require specialized knowledge and skills to install the sensors in environments such as houses and buildings. Therefore, we have developed a flexible WSN based on small sensor devices that can be easily installed. The users only need to place these sensors at the locations where they want to sense and to provide some information to the server through a web page. Then, these small sensor devices automatically create wireless networks, start communicating with the central server for logging continuous data, and show anomalies by using inference based on a basic Bayesian Network. However, a serious problem is that a large amount of noise data prevents correct inferences. Therefore, in this paper, we propose a method for reducing noise data based on location sampling of real human movements. Our experimental results show that our method is effective in increasing the inference accuracy for detecting anomaly data.

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  - JOUR
AU  - Takanobu Otsuka
AU  - Takayuki Ito
PY  - 2013
DA  - 2013/08/01
TI  - Flexible WSNs Aims Easy Installation With Noise Reduce Method For Elderly People Care
JO  - International Journal of Networked and Distributed Computing
SP  - 174
EP  - 186
VL  - 1
IS  - 3
SN  - 2211-7946
UR  - https://doi.org/10.2991/ijndc.2013.1.3.6
DO  - 10.2991/ijndc.2013.1.3.6
ID  - Otsuka2013
ER  -