دانلود رایگان مقاله تفکر شناختی مبتنی بر مدل بازی رفتاری برای الگوریتم کنترل قدرت اینترنت اشیا

Abstract

The Internet of Things (IoT) describes a future world of interconnected physical objects, with several applications in the areas of smart environments. To implement the IoT concept, the research in the areas of power controlled circuits, embedded systems design, network protocols and control theory should be required. With the much advancement in these areas, the realization of IoT is becoming increasingly probable. In this paper, we propose a novel adaptive power control scheme for IoT systems. Based on the cognitive hierarchy thinking mechanism, our proposed scheme is designed as a new behavioral game model to adaptively control the power level. To effectively solve the power control problem in IoT systems, game theory is well-suited and an effective tool. The experimental result illustrates that our game-based approach can get an effective transmission power, which can make the communication rate maximal. Under dynamic IoT system environments, it is highly desirable property.

4. Summary and conclusions

For the last decades, a new game theory research has relaxed a mutual consistency to predict how players are likely to behave in one-shot games before they can learn to equilibrate. In this paper, we have looked at a behavioral game model to explain what happens in the player’s mind during the course of creative process. Based on the cognitive hierarchy mechanism, we design a new power control scheme for IoT systems. The proposed scheme dynamically re-adjusts the current power strategy, and approximates a new solution in an iterative learning methodology. In the proposed scheme, strategic thinking, best-response, and mutual consistency are key modeling principles. Therefore, our approach enables a shift from association-based to causation-based thinking, which facilitates the fine-tuning and manifestation of the creative work. By analyzing the simulation results, it concludes that the proposed scheme can effectively deal with the IoT system power control problem than other existing schemes. Our behavioral game approach is not only better for the power control problem, but it is also a powerful tool to model a wider range of real life situations, such as political science, sociology, psychology, biology, and so on, where conflict and cooperation exist.