Market Model and Optimal Pricing Scheme of Big Data and Internet of Things (IoT)
Not on the map. Why?
Abstract (arXiv)
Big data has been emerging as a new approach in utilizing large datasets to optimize complex system operations. Big data is fueled with Internet-of-Things (IoT) services that generate immense sensory data from numerous sensors and devices. While most current research focus of big data is on machine learning and resource management design, the economic modeling and analysis have been largely overlooked. This paper thus investigates the big data market model and optimal pricing scheme. We first study the utility of data from the data science perspective, i.e., using the machine learning methods. We then introduce the market model and develop an optimal pricing scheme afterward. The case study shows clearly the suitability of the proposed data utility functions. The numerical examples demonstrate that big data and IoT service provider can achieve the maximum profit through the proposed market model.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Feb 2016.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 1; 2022: 1; 2023: 1; 2024: 1.
4 papers.
- 2021FedCCEA : A Practical Approach of Client Contribution Evaluation for Federated Learningcited by 14
- 2022Strategic Coalition for Data Pricing in IoT Data Marketscited by 3
- 2023Privacy-Aware Data Acquisition under Data Similarity in Regression Marketscited by 1
- 2024How Can Incentives and Cut Layer Selection Influence Data Contribution in Split Federated Learning?cited by 0
- 2024How Can Incentives and Cut Layer Selection Influence Data Contribution in Split Federated Learning?10 Dec 2024
- 2023Privacy-Aware Data Acquisition under Data Similarity in Regression Markets5 Dec 2023
- 2022Strategic Coalition for Data Pricing in IoT Data Markets15 Jun 2022
- 2021FedCCEA : A Practical Approach of Client Contribution Evaluation for Federated Learning4 Jun 2021