NSSSD: a new semantic hierarchical storage for sensor data
Paper
Paper/Presentation Title | NSSSD: a new semantic hierarchical storage for sensor data |
---|---|
Presentation Type | Paper |
Authors | Gheisari, Mehdi (Author), Movassagh, Ali Akbar (Author), Qin, Yongrui (Author), Yong, Jianming (Author), Tao, Xiaohui (Author), Zhang, Ji (Author) and Shen, Haifeng (Author) |
Journal or Proceedings Title | Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2016) |
Number of Pages | 6 |
Year | 2016 |
Place of Publication | United States |
ISBN | 9781509019168 |
9781509019151 | |
Digital Object Identifier (DOI) | https://doi.org/10.1109/CSCWD.2016.7565984 |
Web Address (URL) of Paper | http://ieeexplore.ieee.org/document/7565984/ |
Conference/Event | 20th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2016) |
Event Details | Rank B B B B B B B B B B B B |
Event Details | 20th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2016) Event Date 04 to end of 06 May 2016 Event Location Nanchang, China |
Abstract | Sensor networks usually generate mass of data, which if not structured for future applications, will require much effort on analytical processing and interpretations. Thus, storing sensor data in an effective and structured format is a key issue in the area of sensor networks. In the meantime, even a little improvement on data storing structure may lead to a significant effect on the lifetime and performance of the sensor network. This paper describes a new method for sensor storage that combines semantic web concepts, a data aggregation method along with aligning sensors in hierarchical form. This solution is able to reduce the amount of data stored at the sink nodes significantly. At the same time, the method structures sensed data in a way that we can respond to semantic web-based queries with less consumption of energy compared to previous conventional methods. Results show that, in some situations especially when the diversity of query responses and life of network are vital, the efficiency of our new solution is much better. |
Keywords | knowledge modeling, sensor data, hierarchical storage |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
460207. Modelling and simulation | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Islamic Azad University, Iran |
Sharif University of Technology, Iran | |
University of Huddersfield, United Kingdom | |
School of Management and Enterprise | |
School of Agricultural, Computational and Environmental Sciences | |
Flinders University | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3w3q/nsssd-a-new-semantic-hierarchical-storage-for-sensor-data
Download files
Accepted Version
NSSSD-A New Semantic hierarchical Storage for Sensor Data.pdf | ||
File access level: Anyone |
1513
total views228
total downloads1
views this month1
downloads this month