Game Theory in Internet of Things: A Survey

被引:28
|
作者
Chi, Chuanxiu [1 ,2 ]
Wang, Yingjie [1 ,2 ]
Tong, Xiangrong [1 ,2 ]
Siddula, Madhuri [3 ]
Cai, Zhipeng [4 ]
机构
[1] Yantai Univ, Sch Comp & Control Engn, Yantai 264005, Peoples R China
[2] Yantai Univ, Yantai Key Labortory High End Ocean Engn Equipmen, Yantai 264005, Peoples R China
[3] North Carolina A&T State Univ, Dept Comp Sci, Greensboro, NC 27411 USA
[4] Georgia State Univ, Dept Comp Sci, Atlanta, GA 30302 USA
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Games; Internet of Things; Game theory; Task analysis; Sensors; Resource management; Quality of service; Conflict; game theory; Internet of Things (IoT); Nash equilibrium; AS-A-SERVICE; RESOURCE-ALLOCATION; TASK ALLOCATION; IOT; BLOCKCHAIN; STRATEGY; OPTIMIZATION; ARCHITECTURE; PLACEMENT; SECURITY;
D O I
10.1109/JIOT.2021.3133669
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Internet of Things (IoT) devices are being used widely in the fields of smart city, smart grid, environmental monitoring, Internet of Vehicles and other fields that need large-scale sensing data. However, the research on storage and computation power for IoT is still in its early stages. The game theory converts the interaction between two IoT devices into a game where the conflict is resolved by utilizing the game's equilibrium conditions. Our goal with the game theory is to maximize the utility for every device in the IoT network. In this article, we review the recent game-theory-based solutions proposed in IoT networks. We summarize game theory concepts and categorize the common game models for ease of understanding for the reader. Later, we focus on analyzing solutions proposed in resource allocation, task scheduling, node selection, quality of service, and network security. Finally, we summarize research challenges and propose future research directions.
引用
收藏
页码:12125 / 12146
页数:22
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