2015/12/16 by Dusit Niyato, Niyato, Dusit, Dinh Thai Hoang +9
Business, Management and Accounting · Computer Science · #Blockchain Technology Applications and Security #Computer Science and Game Theory (cs.GT) #Digital Platforms and Economics #FOS: Computer and information sciences #IoT and Edge/Fog Computing #cs.GT
paper · pdf · doi:10.48550/arxiv.1512.05075
17 pages, 6 figures, 1 table, IEEE Network Magazine, 2015
arxiv created 2015/12/16 · openalex publication_date 2015/12/16 · arxiv updated 2015/12/17 · openalex created_date 2019/06/27 · openalex updated_date 2026/07/28
Internet of things (IoT) has emerged as a new paradigm for the future Internet. In IoT, enormous devices are connected to the Internet and thereby being a huge data source for numerous applications. In this article, we focus on addressing data management in IoT through using a smart data pricing (SDP) approach. With SDP, data can be managed flexibly and efficiently through intelligent and adaptive incentive mechanisms. Moreover, it is a major source of revenue for providers and partners. We propose a new pricing scheme for IoT service providers to determine the sensing data buying price and IoT service subscription fee offered to sensor owners and service users, respectively. Additionally, we adopt the bundling strategy that allows multiple providers to form a coalition and bid their services as a bundle, attracting more users and achieving higher revenue. Finally, we outline some important open research issues for SDP and IoT.