Yaygın ortamlar için olay tabanlı dinamik sensör yapılandırılması

In recent years, the use of Internet of Things (IoT) devices has grown rapidly, leading to the proliferation of IoT networks. As IoT adoption expands, the diversity of devices in use has also increased, resulting in significant heterogeneity across various dimensions, such as communication protocols and data transmission formats. While several methods have been proposed to address these challenges, the majority of existing research focuses on urban IoT applications. In contrast, rural environments typically exhibit greater device heterogeneity due to the wide range of environmental and operational conditions. Equipment selection in such settings is influenced not only by harsh weather and potentially hazardous environments, but also by factors such as energy efficiency and communication capabilities. These constraints limit the available options, making heterogeneity unavoidable. In this study, we propose a middleware solution designed for a real-time, heterogeneous IoT weather sensor network. The system delivers collected data to researchers, administrators, and end users. The middleware is carefully developed with attention to both semantic and syntactic differences among data sources and is integrated with an interface that facilitates access for various stakeholders.