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Multi-criteria trust establishment for Internet of Agents in smart grids

机译:智能电网中代理Internet的多标准信任建立

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The Internet of Agents (IoA) is an emerging field of research that aims to combine the advantages of multi-agent systems and Internet of Things (IoT), by adding autonomy and smartness to, traditionally, dummy things used in IoT. Multi-agent systems can be used to model distributed systems of smart grids, such as smart grid operations, power system control, electricity market, and monitoring and diagnostic. Trust management can be considered a key component for successful interactions between autonomous agents in IoA, especially when agents cannot assure that potential interactions’ partners share the same core beliefs, or make accurate statements regarding their competencies and abilities. When interactions are based on trust, trust establishment mechanisms can be used to direct trustees, instead of trustors, to build a higher level of trust and have a greater impact on the results of interactions. This paper presents a trust establishment model that uses a multi-criteria (multidimensional) approach to help trustees in IoA environment to adjust their behaviors to improve their perceived trustworthiness, to attract more interactions with trustors. It calculates the necessary improvement per criterion when only a single aggregated satisfaction value is provided per interaction, where the model attempts to predicted both the appropriate value per criteria and its importance. The proposed model is evaluated through simulation, and results indicate that trustees empowered with the proposed model have higher levels of trust and better chances to be selected as interaction partners when such selection is based on trust.
机译:代理互联网(IoA)是一个新兴的研究领域,旨在通过为传统上用于IoT的虚拟事物增加自主性和智能性,以结合多代理系统和物联网(IoT)的优势。多主体系统可用于为智能电网的分布式系统建模,例如智能电网运营,电力系统控制,电力市场以及监视和诊断。信任管理可以被视为IoA中自治代理之间成功交互的关键组件,尤其是当代理无法确保潜在交互的合作伙伴拥有相同的核心信念或就其能力和能力做出准确声明时。当交互基于信任时,可以使用信任建立机制来指导受托者而不是信任者,以建立更高级别的信任并对交互结果产生更大的影响。本文提出了一种信任建立模型,该模型使用多维标准(多维)方法来帮助IoA环境中的受托人调整其行为以提高其感知的可信度,从而吸引更多与受托人的交互。当每次交互仅提供一个汇总的满意度值时,它会计算每个标准的必要改进,其中模型会尝试预测每个标准的适当值及其重要性。通过仿真对提出的模型进行评估,结果表明,使用这种模型授权的受托人具有较高的信任度,并且在基于信​​任的选择中有更好的机会被选择为交互伙伴。

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