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The Internet of Things (IoT) infrastructure with numerous diverse physical devices are growing up rapidly, which need a dynamic services coordination approach that can integrate those heterogeneous physical devices into the context-aware IoT infrastructure. This paper proposes a situation-aware dynamic IoT services coordination approach. First, focusing on the definition of formal situation event pattern with event selection and consumption strategy, an automaton-based situational event detection algorithm is proposed. Second, the enhanced event-condition-action is used to coordinate the IoT services effectively, and also the collaboration process decomposing algorithm and the rule mismatch detection algorithms are proposed. Third, the typical scenarios of IoT services coordination for smart surgery process are also illustrated and the measurement and analysis of the platform’s performance are reported. Finally, the conclusions and future works are given. [ABSTRACT FROM AUTHOR]

With the telecom market reaching saturation in many regions and revenues from voice calls decreasing, telecom operators are attempting to identify new sources of revenue. For this purpose, these operators can take advantage of their core functionalities, such as location and call control, by exposing them as services to be composed by developers with third-party offerings available over the web. Mashups enable technology to compose those services into new applications. However, existing mashup tools have some limitations in such convergent web-service-based integration, such as extra programming efforts for ordinary users. To address these limitations, we propose a novel LSMP, which includes the SDM, SRM, SCM, and SEM. The SDM defines a unified structure for atom-services to reduce the development complexity. The SRM defines a structurized data flow to reduce the coupling of data transfer between atom-services. The SCM provides a design method for the service process, with key data as the driving characteristic. The SEM provides a container for the service logic execution. With these models, ordinary users can create new personalized services freely via an intuitive and easy-to-use UI on a web browser. [ABSTRACT FROM PUBLISHER]