## 1 Introduction  
Future networks envision the evolution of traditional network architectures into more advanced and efficient ones. Along with this vision, several research efforts focus on enhancing the network capacity and data transmission rates to provide low latency and massive connectivity [1]. These new goals are modeling the future network architectures based on new networking paradigms and key enabler technologies such as Software-Defined Networking (SDN), Network Function Virtualization (NFV), and edge computing. Internet of Things (IoT) architectures are taking advantage of the emerging technologies to improve their current architectures [2]. For example, SDN technologies enable centralized IoT network management and programmability. As result, SDN has improved network visibility and dynamic configuration. Furthermore, NFV has facilitated the virtualization of network functions to provide greater flexibility, scalability, and cost-efficiency. Meanwhile, edge computing has enabled data analytics closer to the data source, reducing latency and reducing the large amount of sensor data sent to the cloud [2]. A few years ago, the Recursive InterNetwork Architecture (RINA) was proposed as an alternative to traditional networking architectures mainly based on the Transmission Control Protocol (TCP)/Internet Protocol (IP) stack. RINA is a novel network architecture paradigm that provides a robust, scalable, and flexible framework for interconnecting computer networks. The foundation of RINA is that a computer network is a distributed application that provides distributed Inter-Process Communication (IPC) services to other distributed applications [3]. The set of distributed IPCs forms a single layer known as the Distributed Inter-Process Communication Facility (DIF). The most important aspect of RINA is its recursion so that the DIF layer can be repeated depending on the network's requirements. RINA avoids redundant mechanism implementation in the current network architectures and extracts as much commonality as possible [4]. As a result, RINA facilitates network customization through policies. RINA has demonstrated several advantages in terms of scalability [5], flexibility [6], mobility [7], security [8], and performance [9] that are desired by IoT environments. However, RINA has not been studied in IoT environments yet. The current IoT networks rely on SDN technologies to fulfill the IoT requirements, making the adoption of RINA difficult. For this reason, the integration of RINA with SDN technologies aims to lower the barriers of adopting RINA in IoT environments. Such integration enables a progressive deployment of RINA in current IoT networks without affecting their operations and performance. Consequently, this strategical integration will open new areas of ongoing exploration and development for modeling the next generation of IoT network architectures. However, achieving such integration is challenging because RINA must guarantee seamless interoperability along the edge-fog-cloud continuum. On this account, the IoT devices and the IoT gateways must be able to implement the RINA protocols and layer management functionalities to enable a RINA network at the edge and fog computing levels. On the other hand, the current SDN controllers cannot support the RINA network model. For example, SDN controllers have their own data models to manage their SDN switches, and these data models are quite different from the RINA management layer and transmission protocols. Furthermore, the current IoT applications and services cannot seamlessly use the RINA Application Programming Interfaces (APIs). IoT applications and services must be able to communicate transparently with each other using RINA protocols in the fog-cloud computing levels. This work addresses the challenges mentioned earlier to enable the integration of SDN technologies and RINA by providing a RINA-based management Distributed Application Facility (DAF), a RINA SouthBound Interface (SBI) driver, and a RINA-Layer 2 Virtual Private Network (L2 VPN).