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Game Theory in Internet of Things: A Survey | IEEE Journals & Magazine | IEEE Xplore

Game Theory in Internet of Things: A Survey


Abstract:

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 ...Show More

Abstract:

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.
Published in: IEEE Internet of Things Journal ( Volume: 9, Issue: 14, 15 July 2022)
Page(s): 12125 - 12146
Date of Publication: 10 December 2021

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I. Introduction

Internet of Things (IoT) combines information technology with traditional industries, accelerating the construction of digitization, information technology, and intelligence, which is of great significance to promote the transformation, and upgrading of industries. The global system for mobile communication association (GSMA) estimates IoT connections will reach almost 25 billion globally by 2025 [1]. Thus, it can be seen that IoT technology will be deeply integrated into people’s daily life [2]. IoT enables all entities that can be independently tagged to form an interactive network, on the basis of which perception and control can be carried out, which reduces human consumption and improves accuracy and efficiency. IoT is a network of millions of devices worldwide with sensing capabilities interconnecting human beings and devices [3]. We collect diverse data from the real world through various sensing methods. These collected data are then transmitted using integrated mobile communication and IoT technologies. The collected data are further processed and analyzed using intelligent systems to predict certain situations, such as environmental changes and human behavior [4]. Therefore, we can use an IoT network to sense physical world attributes and provide intelligent decisions.

References

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