A Multi-Stakeholder Information Model to Drive Process Connectivity In Smart Buildings

Smart buildings utilise IoT technology to provide stakeholders with efficient, comfortable, and secure experiences. However, previous studies have primarily focused on the technical aspects of it and how it can address specific stakeholder requirements. This study adopts socio-technical theory principles to propose a model that addresses stakeholders' needs by considering the interrelationship between social and technical subsystems. A systematic literature review and thematic analysis of 43 IoT conceptual frameworks for smart building studies informed the design of a comprehensive conceptual model and IoT framework for smart buildings. The study's findings suggest that addressing stakeholder requirements is essential for developing an information model in smart buildings. A multi-stakeholder information model integrating multiple stakeholders' perspectives enhances information sharing and improves process connectivity between various systems and subsystems. The socio-technical systems framework emphasises the importance of considering technical and social aspects while integrating smart building systems for seamless operation and effectiveness. The study's findings have significant implications for enhancing stakeholders' experience and improving operational efficiency in commercial buildings. The insights from the study can inform smart building systems design to consider all stakeholder requirements holistically, promoting process connectivity in smart buildings. The literature analysis contributed to developing a comprehensive IoT framework, addressing the need for holistic thinking when proposing IoT frameworks for smart buildings by considering different stakeholders in the building

Autonomic Management Approach for Dynamic Service Based IoT Systems

International audienceThe Internet of Things (IoT) continues to expand undeniably fast to reach billions of connected heterogeneous devices. This is changing the way systems are built: new applications integrating software and physical devices are emerging in different domains, such as health, smart building, and smart cities. This brings opportunities to enable new added value services. Nevertheless, building and managing such highly dynamic and heterogeneous infrastructures built upon a multitude of mobile and resource-limited devices is challenging. In this paper, we propose a semantic based autonomic management approach for service oriented IoT systems. The aim is to support building and managing highly dynamic new value added IoT services. The proposed approach relies on a semantic based model to characterize the system properties and then enables semantic reasoning, and graph grammars to enable its management and evolution. A use case is proposed to show the related features of the proposed approach and an evaluation study is presented