The rapid proliferation of the Internet of Things (IoT) has transformed independent systems into interconnected systems-of-systems (SoS), characterized by their scale, heterogeneity, and distributed control. While service-oriented architectures (SOA) offer a flexible framework for building such systems, traditional SOA approaches are inadequate for addressing the unique challenges of IoT-based SoS, particularly in resource-constrained and dynamic environments. This research proposes a resource-aware, adaptive service-oriented framework designed to address the specific needs of IoT-based SoS. The framework focuses on managing resource limitations, enabling dynamic service adaptation, and ensuring seamless communication between heterogeneous subsystems. By introducing techniques for resource-efficient service orchestration and real-time adaptability, this approach advances the state of the art in service-oriented computing. Our aim is centered around improving resource management and system performance in dynamic IoT environments, positioning the proposed solution to significantly enhance the scalability and reliability of future IoT-based SoS applications.