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Service Pricing Decision in Cyber-Physical Systems: Insights from Game Theory

机译:网络物理系统中的服务定价决策:博弈论的启示

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摘要

In cyber-physical systems (CPS), service organizers (SOs) aim to collect service from service entities at lower price and provide better combined services to users. However, each entity receives payoffs when providing services, which leads to competition between SOs and service entities or within internal service entities. In this paper, we first formulate the price competition model of SOs where the SOs dynamically increase and decrease their service prices periodically according to the number of collected services from entities. A ame based ervices rice ecision (GSPD) model which depicts the process of price decisions is proposed in this paper. In the GSPD model, entities game with other entities under the rule of “survival of the fittest” and calculate payoffs according to their own payoff-matrix, which leads to a Pareto-optimal equilibrium point. Numerous experiments demonstrate that the GSPD model can explain the price dynamics in the real world, and also can help decision makers a lot under various scenarios.
机译:在网络物理系统(CPS)中,服务组织者(SO)旨在以较低的价格从服务实体收集服务,并向用户提供更好的组合服务。但是,每个实体在提供服务时都会收到收益,这会导致SO与服务实体之间或内部服务实体内部的竞争。在本文中,我们首先建立了SO的价格竞争模型,其中SO会根据从实体收集的服务数量来周期性地动态增加或减少其服务价格。本文提出了一种基于虫族的稻米产量(GSPD)模型,该模型描述了价格决策过程。在GSPD模型中,实体根据“适者生存”的规则与其他实体进行博弈,并根据其自身的收益矩阵计算收益,从而得出帕累托最优均衡点。大量实验表明,GSPD模型可以解释现实世界中的价格动态,并且可以在各种情况下为决策者提供很多帮助。

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