Challenges and Opportunities in IoT Data Markets

Autor: Zhenzhe Zheng, Fan Wu, Guihai Chen, Weichao Mao
Rok vydání: 2019
Předmět:
Zdroj: SocialSens@CPSIoTWeek
Popis: Tremendous amount of Internet of Things (IoT) data is seamlessly generated and collected by ubiquitous sensors to facilitate critical decision making in various scenarios. However, due to the lack of open and effective data sharing and trading platforms, most existing IoT data can only be analyzed and utilized by data owners themselves, which largely restricts the potential value of data. In this paper, we discuss the unique economic properties of IoT data that bring new challenges to its market design. We further point out several interesting research opportunities and open problems in this area for future study.
Databáze: OpenAIRE