Original scientific paper

https://doi.org/10.17559/TV-20170320123738

Processing missing power data in wireless sensor networks

Yonglin Liang orcid.org/0000-0002-7843-9270 ; College of Information Science and Engineering, Shaoguan University, Daxue Street, Zhenjiang District, Shaoguan city, Guangdong province, China
Jingguo Dai ; College of Information Science and Engineering, Shaoguan University, Daxue Street, Zhenjiang District, Shaoguan city, Guangdong province, China

Abstract

The application prospects of wireless sensor networks (WSN) are very broad due to their characteristics of convenience, low cost, accuracy. Wireless sensor networks have potential applications in many fields, such as business, smart home appliances, industry. Wireless sensor networks are considered to be one of the most influential technologies today. The power industry is not only related to the livelihood of individuals, but also to national security. At present, the development of the power industry has reached a bottleneck. One of the methods to break through the bottleneck of the development of the electric power industry is by combining the wireless sensor networks with the electric power industry and building a smart grid. Due to various reasons, the data generated by the wireless sensor networks may be lost, and the missing data will have a great impact on the detection of power data and the construction of the smart grid. The power data generated by the wireless sensor networks has both temporality and spatiality. In this paper, we propose a fusion algorithm to deal with the missing data in wireless sensor networks. Experimental results show that the proposed algorithm can effectively estimate the missing power data in wireless sensor networks.

Keywords

fusion method; missing data; smart grid; wireless sensor networks

Hrčak ID:

185442

URI

https://hrcak.srce.hr/185442

Publication date:

31.7.2017.

Article data in other languages: croatian

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