Open AccessResearch on Data Quality Assessment of Accuracy and Quality Control Strategy for Sensor Networks
Author(s) -
Zhang Jin,
Ma Ya-Jie,
Doudou Hong
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1288/1/012041
Subject(s) - computer science , data mining , data quality , data collection , quality (philosophy) , sampling (signal processing) , wireless sensor network , measure (data warehouse) , entropy (arrow of time) , engineering , statistics , mathematics , telecommunications , computer network , metric (unit) , philosophy , operations management , physics , epistemology , quantum mechanics , detector
In this paper, to make the data meeting the network application has a specific standards, it is necessary to apply a scale to measure the attributes of data in sensor network, for the concept of data-based sensor networks service quality is relatively vague. Based on the signal-to-noise ratio quality model proposed by Mini Mathew et al, the data quality evaluation standards are introduced. The definitions of accuracy and timeliness for sensor data are given with the understanding of data quality management. Then according to the maximum entropy algorithm of processing sensor data, the relationship between accuracy and network communication parameters is derived. Finally, the unity and limitations between data accuracy standard and signal-to-noise mode are discussed. The relationship between the sampling frequency and the data quality accuracy is analyzed as well.