Stand-alone devices perform their functions without human intervention. These types of devices would benefit from capabilities that allow collaboration among the devices in order to maximize service availability, as well as dynamic adaptation of the devices to user requirements in order to minimize resource usage. For example, when detecting a malfunction in one of the devices, the system should find devices with similar functionality to recover the overall service by functionality substitution. Additionally, for example, in the context of a user with hearing loss, the system should utilize devices with visual feedback functionality and disable audio feedback functionality to conserve resources. In this paper, we describe the implementation of a method to detect similar functionalities between heterogeneous devices, denoted Lightweight Machine to Machine Resource Pragmatic Distance (LwRPD). We define that devices are pragmatically close if they can be substituted with each other in order to perform a specific function in a particular context. We implement the method for enabling the aforementioned capabilities in specific use cases, using resources from real-life devices, to demonstrate the benefits. We also compare LwRPD with a multi-agent pragmatic similarity metric, Fuzzy logic and Levenshtein distance techniques, demonstrating LwRPD superiority over those techniques.

中文翻译：

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物联网设备中的实用距离

独立设备无需人工干预即可执行其功能。这些类型的设备将受益于允许设备之间协作以最大化服务可用性的能力，以及设备对用户需求的动态适应以最小化资源使用。例如，当检测到其中一个设备出现故障时，系统应该找到具有相似功能的设备，以通过功能替换来恢复整体服务。此外，例如，在有听力损失的用户的情况下，系统应利用具有视觉反馈功能的设备并禁用音频反馈功能以节省资源。在本文中，我们描述了一种检测异构设备之间相似功能的方法的实现，表示轻量级机器到机器资源实际距离（LwRPD）。我们定义，如果设备可以相互替换以在特定环境中执行特定功能，则它们在实用性上是接近的。我们实现了在特定用例中启用上述功能的方法，使用来自现实生活设备的资源，以展示好处。我们还将 LwRPD 与多智能体语用相似性度量、模糊逻辑和 Levenshtein 距离技术进行了比较，证明了 LwRPD 优于这些技术。使用来自真实设备的资源来展示好处。我们还将 LwRPD 与多智能体语用相似性度量、模糊逻辑和 Levenshtein 距离技术进行了比较，证明了 LwRPD 优于这些技术。使用来自真实设备的资源来展示好处。我们还将 LwRPD 与多智能体语用相似性度量、模糊逻辑和 Levenshtein 距离技术进行了比较，证明了 LwRPD 优于这些技术。