School of Information Technology, Deakin University, Geelong, VIC 3220, Australia.
Sensors (Basel). 2022 Feb 19;22(4):1632. doi: 10.3390/s22041632.
Satisfying a context consumer's quality of context (QoC) requirements is important to context management platforms (CMPs) in order to have credibility. QoC indicates the contextual information's quality metrics (e.g., accuracy, timeliness, completeness). The outcomes of these metrics depend on the functional and quality characteristics associated with all actors (context consumers (or) context-aware applications, CMPs, and context providers (or) IoT-data providers) in context-aware IoT environments. This survey identifies and studies such characteristics and highlights the limitations in actors' current functionalities and QoC modelling approaches to obtain adequate QoC and improve context consumers' quality of experience (QoE). We propose a novel concept system based on our critical analysis; this system addresses the functional limitations in existing QoC modelling approaches. Moreover, we highlight those QoC metrics affected by quality of service (QoS) metrics in CMPs. These recommendations provide CMP developers with a reference system they could incorporate, functionalities and QoS metrics to maintain in order to deliver an adequate QoC.
满足上下文使用者的上下文质量（QoC）要求对于上下文管理平台（CMP）来说非常重要，这是其建立可信度的关键。QoC 表示上下文信息的质量指标（例如，准确性、及时性、完整性）。这些指标的结果取决于与上下文感知 IoT 环境中的所有参与者（上下文使用者（或）上下文感知应用程序、CMP 和上下文提供者（或）IoT 数据提供者）相关联的功能和质量特征。本调查确定并研究了这些特征，并强调了参与者当前功能和 QoC 建模方法的局限性，以获得足够的 QoC 并提高上下文使用者的体验质量（QoE）。我们基于批判性分析提出了一个新的概念系统；该系统解决了现有 QoC 建模方法中的功能局限性问题。此外，我们还强调了 CMP 中影响服务质量（QoS）指标的那些 QoC 指标。这些建议为 CMP 开发人员提供了一个参考系统，他们可以在其中纳入功能和 QoS 指标，以提供足够的 QoC。
