دانلود رایگان مقاله طرح تخصیص منابع مبتنی بر ارزش شپلی برای خدمات اینترنت اشیا

Abstract

Inspired by the development of new communication technologies, society has shifted its focus from the original network connection services to pervasive information services. With this shift, the Internet of Things (IoT) has developed rapidly. To realize IoT services, spectrum resources should be allocated adaptively to ensure service requirements. In this paper, we propose a novel solution that addresses the resource allocation problem by adopting cooperative game values. In our game model, the concept of the Shapley value is extended and practically applied to design a new bandwidth allocation algorithm. Numerical results show that our proposed approach can guarantee performance balance while improving the overall system resource utilization, as compared with the existing schemes that also address the resource allocation problem. Under dynamic IoT system environments, this result proves the efficiency of our approach for multimedia traffic services.

4. Summary and conclusions

Game theory is a mathematical framework for analyzing the complex interactions of cooperative or competing decision makers while taking into account their preferences and requirements. Recently, cooperative game theory has become a useful and powerful tool for resolving research problems related to network resource allocation. In this study, we adopted the cooperative game approach to design a new bandwidth allocation scheme for IoT systems. Our solution is interpreted as a two-step bandwidth allocation process: an inter-APs and an intra-APs cooperative game. In the inter-APs game, the available bandwidth in the BS is dynamically distributed among APs using the A_SV approach. In the intra-APs game, the allocated bandwidth in each AP is re-distributed to different traffic service groups using the relative utilitarian value. Under various system traffic load conditions, the proposed scheme can maintain an excellent IoT system performance as compared with the other existing schemes. Our proposed scheme can stimulate the study of the development of practical game theory, and is driving us toward an increasing amount of collaboration across all the realistic implementation techniques. Therefore, in the future, research on growth in both theory and practical applications will accelerate.