Survey of data cleaning algorithms in wireless sensor networks

This paper aims to provide insight into attempts of solving the problems of data cleaning in big data wireless sensor networks that could be used in smart cities. We focus on data cleaning algorithms and case studies of some of the more specialized problems that occur in this field, like error models, benchmark datasets, impact of certain components in datasets and the proposed order of data cleaning.