With the development of wisdom network, this paper assumes that intelligent devices become more and more intelligent, which can easily collect and provide a variety of context awareness data. The research goal is to design a dynamic conflict resolution strategy for context-aware resource allocation. The limited availability of resources inevitably leads to conflicts. Considering the characteristics of wisdom network, the quality of service when solving conflicts, a mechanism is proposed to improve the quality of services and to solve the resources allocation conflicts. This paper constructs the optimal model of context-aware based on a differential game and optimizes the resource allocation of context-aware based on the priority of scenarios. Fog computing is used to provide enough computing resources for the control of resource allocation of context-aware. The Bellman dynamic programming is introduced to solve the feedback Nash equilibrium solution of the proposed differential game model, to obtain the optimal allocation of service resources and solve the effectiveness of resource allocation.

中文翻译：

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具有雾计算的智慧网络中基于动态优先级的服务资源分配，用于解决上下文感知的冲突

随着智慧网络的发展，本文假设智能设备变得越来越智能，可以轻松地收集和提供各种情境感知数据。研究目标是设计一种用于环境感知资源分配的动态冲突解决策略。资源有限，不可避免地导致冲突。针对智慧网络的特点，解决冲突时的服务质量，提出了一种提高服务质量和解决资源分配冲突的机制。本文构建了基于差分博弈的上下文感知最优模型，并根据场景优先级优化了上下文感知的资源分配。雾计算用于提供足够的计算资源来控制上下文感知的资源分配。引入Bellman动态规划方法来求解所提出的差分博弈模型的反馈纳什均衡解，以获得服务资源的最优分配并解决资源分配的有效性。