Nowadays, IoT systems can better satisfy the service requirements of users with effectively utilizing edge computing resources. Designing an appropriate pricing scheme is critical for users to obtain the optimal computing resources at a reasonable price and for service providers to maximize profits. This problem is complicated with incomplete information. The state-of-the-art solutions focus on the pricing game between a single service provider and users, which ignoring the competition among multiple edge service providers. To address this challenge, we design an edge-intelligent hierarchical dynamic pricing mechanism based on cloud-edge-client collaboration. We introduce an improved double-layer Stackelberg game model to describe the cloud-edge-client collaboration. Technically, we propose a novel pricing prediction algorithm based on double-label Radius K-nearest Neighbors, thereby reducing the number of invalid games to accelerate the game convergence. The experimental results show that our proposed mechanism effectively improves the quality of service for users and realizes the maximum benefit equilibrium for service providers, compared with the traditional pricing scheme. Our proposed mechanism is highly suitable for the IoT applications (e.g., intelligent agriculture or Internet of Vehicles), where there are multiple competing edge service providers for resource allocation.

中文翻译：

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EIHDP：基于云-边缘-客户端协作的物联网系统边缘智能分层动态定价

如今，物联网系统可以通过有效利用边缘计算资源更好地满足用户的服务需求。设计合适的定价方案对于用户以合理的价格获得最优的计算资源和服务提供商实现利润最大化至关重要。这个问题很复杂，信息不完整。最先进的解决方案专注于单个服务提供商与用户之间的定价博弈，而忽略了多个边缘服务提供商之间的竞争。为了应对这一挑战，我们设计了一种基于云-边缘-客户端协作的边缘智能分层动态定价机制。我们引入了改进的双层 Stackelberg 博弈模型来描述云-边缘-客户端协作。从技术上讲，我们提出了一种基于双标签 Radius K-nearest Neighbors 的新颖定价预测算法，从而减少无效游戏的数量以加速游戏收敛。实验结果表明，与传统的定价方案相比，我们提出的机制有效地提高了用户的服务质量，实现了服务提供者的最大利益均衡。我们提出的机制非常适合物联网应用（例如，智能农业或车联网），其中有多个竞争的边缘服务提供商进行资源分配。实验结果表明，与传统的定价方案相比，我们提出的机制有效地提高了用户的服务质量，实现了服务提供者的最大利益均衡。我们提出的机制非常适合物联网应用（例如，智能农业或车联网），其中有多个竞争的边缘服务提供商进行资源分配。实验结果表明，与传统的定价方案相比，我们提出的机制有效地提高了用户的服务质量，实现了服务提供者的最大利益均衡。我们提出的机制非常适合物联网应用（例如，智能农业或车联网），其中有多个竞争的边缘服务提供商进行资源分配。