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Game theory, the Internet of Things and 5G networks : utilizing game theoretic models to characterize challenging scenarios
Antoniou J., Springer International Publishing, New York, NY, 2020. 110 pp.  Type: Book (978-3-030168-43-8)
Date Reviewed: Sep 24 2020

Sustained by the much-improved capabilities of 5G technology, the new Internet of Things (IoT) applications will benefit from an increased number of interconnected sensors and devices, as well as from a significantly larger data transfer, improved security, and very low latency. By processing the applications’ traffic, performance is better, with smaller risks and higher data speed. The convergence of 5G technology and the IoT becomes an interactive world in which the decision-making process is very important. As a field of applied mathematics, game theory provides answers to this interactive world in which the best decision of each decision-making entity depends on the decisions of others.

This book presents a game theory perspective on the analysis and modeling of interaction strategies in the 5G-and-IoT universe, and provides theoretical solutions accompanied by numerical results for a few special cases. It analyzes and models four scenarios using game theory. For each of the four case studies, solutions are proposed.

The clear, concise, and accessible writing style provides a helpful overview of the application of game theory in networking environments, which is especially useful to researchers, engineers, and practitioners interested in the applications of game theory in IoT and 5G networks.

The first part, “Game Theory and Networking,” includes useful theory related to cooperative games, such as the iterated prisoner’s dilemma, the Nash bargaining game, and the Rubinstein bargaining game. Topics are added, such as cooperative games with incomplete information, communication, and cooperation in repeated games, and the interactions between coalitions of players. These issues allow for the exploration of game theory applications in 5G networks as competition between coalitions of players (rather than between individual players).

In the second part, “Using Game Theory to Address New Security Risks in the IoT,” a coalition of IoT nodes is modeled to implement some security services by generating a password in an IoT scenario. The modeling, analysis, and simulation process includes support provided by game theory and a method based on the popularity power index (PPI). The proposed method is carefully analyzed, theoretically justified, and compared to other methods through the obtained results.

The goal of the 5G network is to increase the performance of communication services through lower transmission delay, increased average throughput, more efficiency, and other indicators. Part 3, “Using Game Theory to Address Mobile Data Offloading in 5G,” includes the results of modeling an offloading computation based on a game-theoretic auction model. The proposed solution contributes to lowering traffic delays, a result of the strategies of the nodes interacting in the negotiation process.

The fourth part of the book, “Using Game Theory to Motivate Trust in Ad Hoc Vehicular Networks,” presents a game-theory-based adaptive strategy for ad hoc vehicular networks. The proposed model is based on an adaptive strategy to motivate the cooperation between vehicular nodes. Performance is compared and discussed through the numerical results from several strategy combinations.

Part 5, “Using Game Theory to Characterize Trade-Offs Between Cloud Providers and Service Providers for Health Monitoring Services,” consists of a negotiation scenario where the interaction between entities is modeled and solved using the Nash bargaining game model. Based on the motivation of the players to cooperate, the equilibrium state is reached within the proposed Bayesian form of the payment-partition model.

The scenarios included in this book highlight significant research on game theory applications in communications and networking. The range of topics will be of great interest to researchers, engineers, practitioners, and advanced students interested in 5G networks and IoT.

Reviewer:  Eugen Petac Review #: CR147068 (2101-0006)
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