NSSSD: A new semantic hierarchical storage for sensor data

Conference item


Gheisari, Mehdi, Movassagh, Ali Akbar, Qin, Yongrui, Yong, Jianming, Tao, Xiaohui, Zhang, Ji and Shen, Haifeng. (2016) NSSSD: A new semantic hierarchical storage for sensor data. The 2016 IEEE 20th international conference on computer supported cooperative work in design (CSCWD), May 4-6, 2016, Nanching, China. United States of America: IEEE Computer Society. pp. 174 - 179 https://doi.org/10.1109/CSCWD.2016.7565984
AuthorsGheisari, Mehdi, Movassagh, Ali Akbar, Qin, Yongrui, Yong, Jianming, Tao, Xiaohui, Zhang, Ji and Shen, Haifeng
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.

Keywordsknowledge modeling; sensor data; hierarchical storage
Year2016
PublisherIEEE Computer Society
Digital Object Identifier (DOI)https://doi.org/10.1109/CSCWD.2016.7565984
Scopus EID2-s2.0-84991573452
Book titleProceedings of the 2016 IEEE 20th international conference on computer supported cooperative work in design (CSCWD)
Page range174 - 179
ISBN9781509019151
Research GroupPeter Faber Business School
Place of publicationUnited States of America
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