A Multidimensional Rendering of Error Types in Sensor Data Zlatinka Kovacheva , Ina Naydenova , and Kalinka Kaloyanova Abstract The focus of this article is on data quality in wireless sensor networks. Different types of errors that occur during the operation of wireless sensor networks and their classiﬁcations are discussed. Based on reviewed classiﬁcations, an approach for a multidimensional organization for the rendering of WSN error types is proposed that provides opportunities to monitor the frequency of sensor errors and analyze the causes of their occurrence based on various criteria. Keywords Multidimensional model · Sensor data quality · Types of errors 1 Introduction The very fast development of wireless sensor networks (WSNs) leads to the appli- cation of a huge amount of sensor devices in many ﬁelds of modern life such as industry, smart city, agriculture, healthcare, and transport Along with advanced data analytics, IoT-enabled devices and sensors improve the quality of human life by reducing air and water pollution, cutting food waste, optimizing trafﬁc congestion, energy consumption, and trash collection in large cities, improving health care and quality of life of the elderly and many others. The WSN applications use thousands of sensors that produce huge amounts of data, but the data are considered useless if they are not correct. Poor sensor data quality may signiﬁcantly affect the results of the decision-making processes [1]. Z. Kovacheva (B ) · I. Naydenova · K. Kaloyanova Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Soﬁa, Bulgaria K. Kaloyanova e-mail: kkaloyanova@fmi.uni-soﬁa.bg Z. Kovacheva University of Mining and Geology “St. Ivan Rilski”, Soﬁa, Bulgaria K. Kaloyanova Soﬁa University “St. Kliment Ohridski”, Soﬁa, Bulgaria © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022 A. K. Nagar et al. (eds.), Intelligent Sustainable Systems, Lecture Notes in Networks and Systems 334, https://doi.org/10.1007/978-981-16-6369-7_13 139