Abstract
The Internet of Thing (IoT) is generating an unprecedented volume of data, facilitating the rise of the Data Economy. Under this ecosystem, the IoT data marketplace (IDM) provides an online platform for IoT data trading. Most current IDM solutions are centralized, serving as an intermediary between the data provider and consumer. They support selling and buying data collections (e.g. pre-collected data sets and data streams). However, as these data collections are historically collected without having any priory requirements and preferences given by the data consumer, it is very likely that most of these data collections cannot fulfill data consumer requirements. Redundancy, poor data quality, inaccuracy and limited financial incentives are common problems for existing IDMs, thereby making them financially ineffective. Due to the temporal nature of IoT data, the issue of pre-collection becomes even more critical as it is not trivial to re-collect data from the past.This paper presents a novel framework with a new on-demand market model, namely Decentralized IoT Collectability Data Marketplace (DCDM) model. Difference from the conventional IDM models where merely data collections are considered as a commodity, our model also involves operational factors such as data provider availability, operationality, contextual and geographical location etc. This empowers our framework to trade not only the dataset but rather an ability of the data provider to fulfill the collection task. Our game-changing approach is realized using a combination of Blockchain and Crowdsensing techniques. We first explore the concept of ”Data Collectability” for IDM, then build a model to deploy our approach on IoT context. Furthermore, we identify potential applications and open research challenges.
Published Version
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