Profit Maximization in Edge-Enabled Multimedia Data Market: A Game-Based Pricing Approach

被引:0
|
作者
Shen, Bo [1 ]
Ma, Qian [1 ]
Yang, Gang [1 ]
Wang, Ru [2 ]
机构
[1] Northwestern Polytech Univ, Sch Comp Sci & Engn, Xian, Peoples R China
[2] Northwest A&F Univ, Coll Informat Engn, Yangling, Peoples R China
基金
中国国家自然科学基金;
关键词
Data market; knowledge management; Stackelberg game; profit maximization; edge computing;
D O I
10.1007/978-981-97-5489-2_16
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A huge amount of multimedia data is generated everyday. The value of data determines that it can be viewed as a kind of commodity for sale. Processing raw data to extract knowledge can increase the value of data. However, processing cost determine the profits of data providers. Processing delay affect the purchasing willingness of data buyers. In this paper, we propose an economics framework for data trading. A data market with the aid of edge computing is established to describe the interaction between data providers and data buyers. The problem of pricing and purchasing data is discussed to maximize the profits of the whole participants in multimedia data market. A Stackelberg game is then proposed to derive the best pricing and purchasing strategies. The knapsack strategy is also used to select the candidate data providers. Extensive experimental results show the effectiveness of the proposed framework.
引用
下载
收藏
页码:176 / 187
页数:12
相关论文
共 50 条
  • [31] Data Offloading in Mobile Edge Computing: A Coalition and Pricing Based Approach
    Zhang, Tian
    IEEE ACCESS, 2018, 6 : 2760 - 2767
  • [32] Multimedia Data Throughput Maximization in Internet-of-Things System Based on Optimization of Cache-Enabled UAV
    Jiang, Bin
    Yang, Jiachen
    Xu, Huifang
    Song, Houbing
    Zheng, Gan
    IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (02): : 3525 - 3532
  • [33] A Game-based Learning Approach using Interactive Multimedia to Learn Fraction (Mathematics) Among Primary School Children
    Ahmad, Siti Zulaiha
    Rosmani, Arifah Fasha
    Nazri, Nur Ammarah Muhammad
    6TH IEEE INTERNATIONAL CONFERENCE ON RECENT ADVANCES AND INNOVATIONS IN ENGINEERING (ICRAIE), 2021,
  • [34] A signaling game-based approach for Data-as-a-Service provisioning in IoT-Cloud
    Hayat, Routaib
    Sabir, Essaid
    Badidi, Elarbi
    ElKoutbi, Mohammed
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 92 : 1040 - 1050
  • [35] Data Pricing for Blockchain-based Car Sharing: A Stackelberg Game Approach
    Xu, Chengzhen
    Zhu, Kun
    Yi, Changyan
    Wang, Ran
    2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2020,
  • [36] Block-CPS: Blockchain and Non-Cooperative Game-Based Data Pricing Scheme for Car Sharing
    Kakkar, Riya
    Gupta, Rajesh
    Dahman Alshehri, Mohammad
    Tanwar, Sudeep
    Dua, Amit
    Kumar, Neeraj
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (24) : 25780 - 25790
  • [37] A Stackelberg game-based peer-to-peer energy trading market with energy management and pricing mechanism: A case study in Guangzhou
    Yu, Xiaojun
    Pan, Deng
    Zhou, Yuekuan
    SOLAR ENERGY, 2024, 270
  • [38] A Game-Based Secure Trading of Big Data and IoT Services: Blockchain as a Two-Sided Market
    Bataineh, Ahmed Saleh
    Bentahar, Jamal
    Wahab, Omar Abdel
    Mizouni, Rabeb
    Rjoub, Gaith
    SERVICE-ORIENTED COMPUTING (ICSOC 2020), 2020, 12571 : 85 - 100
  • [39] Game-Based Optimal Aggregation of Energy Prosumer Community With Mixed-Pricing Scheme in Two-Settlement Electricity Market
    Wang, Jianzheng
    Hu, Guoqiang
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, : 1 - 12
  • [40] Resource allocation for network profit maximization in NOMA-based F-RANs: a game-theoretic approach
    Cao, Xueyan
    Yan, Shi
    Zhang, Hongming
    FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2022, 23 (10) : 1546 - 1561