IoT Data Quality Issues and Potential Solutions: A Literature Review

TL;DR

This literature review discusses IoT data quality challenges, introduces a new categorization of data quality issues, and proposes blockchain-based solutions to improve data integrity and security in IoT applications.

Contribution

The paper develops a novel categorization separating IoT data quality dimensions and issues, and suggests blockchain as a potential solution to enhance data quality and security.

Findings

New categorization of IoT data quality issues and dimensions.

Blockchain can address security-related data quality problems.

Improved understanding of domain-specific data quality challenges.

Abstract

The Internet of Things (IoT) is a paradigm that connects everyday items to the Internet. In the recent decade, the IoT's spreading popularity is a promising opportunity for people and industries. IoT utilizes in a wide range of respects such as agriculture, healthcare, smart cities, and manufacturing sectors. IoT data quality is crucial in IoT real-life applications. IoT data quality dimensions and issues should be considered because we require data to make accurate and timely decisions, produce commodities, and gain insights about events, people, and the environment. It is essential to point out that we cannot reach valuable results by using poor quality data. This paper aims to develop a new category for IoT data quality. Hence, we examine existing IoT data quality dimensions and IoT data quality issues in general and specific domains and IoT data quality dimensions' categories. It is worth considering that categories in the context of IoT are not many. We developed a new category in which IoT data quality dimensions and issues are separated. Concerning this category, we can get familiar with related dimensions and issues in each category. To enhance data quality dimensions and minimize data quality issues, we suggest potential solutions using Blockchain to overcome IoT's security issues.