Volume 1, Issue 3, August 2013, Pages 174 - 186
Flexible WSNs Aims Easy Installation With Noise Reduce Method For Elderly People Care
Takanobu Otsuka, Takayuki Ito
Received 19 June 2013, Accepted 25 June 2013, Available Online 1 August 2013.
- https://doi.org/10.2991/ijndc.2013.1.3.6How to use a DOI?
- Wireless Sensor Networks, M2M, Bayesian Network, Anomaly Detection
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - JOUR AU - Takanobu Otsuka AU - Takayuki Ito PY - 2013 DA - 2013/08 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 - https://doi.org/10.2991/ijndc.2013.1.3.6 ID - Otsuka2013 ER -