NSSSD: A new semantic hierarchical storage for sensor data

Mehdi Gheisari, Ali Akbar Movassagh, Yongrui Qin, Jianming Yong, Xiaohui Tao, Ji Zhang, Haifeng Shen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages174-179
Number of pages6
ISBN (Electronic)9781509019151
DOIs
Publication statusPublished - 13 Sep 2016
Event20th IEEE International Conference on Computer Supported Cooperative Work in Design - Nanchang, China
Duration: 4 May 20166 May 2016
Conference number: 20
http://2016.cscwd.org/ (Link to Conference Website)

Conference

Conference20th IEEE International Conference on Computer Supported Cooperative Work in Design
Abbreviated titleCSCWD 2016
CountryChina
CityNanchang
Period4/05/166/05/16
Internet address

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Cite this

Gheisari, M., Movassagh, A. A., Qin, Y., Yong, J., Tao, X., Zhang, J., & Shen, H. (2016). NSSSD: A new semantic hierarchical storage for sensor data. In Proceedings of the 2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2016 (pp. 174-179). [7565984] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCWD.2016.7565984