## 2 Related Works  
In the related literature, several studies have been conducted to build test research networks for enabling experiments under real-world conditions. [PERSON] et al. [12] introduced the Software Defined Topology Testbed (SDT), a cost-effective platform that allows researchers to construct reconfigurable network topologies using commodity switches. This testbed facilitates evaluations of network tools by simulating various topological scenarios, enabling dynamic testing under diverse conditions. Similarly, [PERSON] et al. [13] proposed a modular 5G+ testbed that integrates Radio Access Networks (RAN) with real-world User Equipment. The system supports full network functionality, including user-plane data handling, making it suitable for next-generation network research, such as 6G experiments. [PERSON] et al. [14] extended these advancements with Techtile, a versatile research testbed designed for 6G technologies. Techtile provides fine-grained distributed resources for communication, positioning, sensing, and wireless power transfer, making it ideal for validating new algorithms and exploring hyper-connected interactive environments. To enhance testbed control and monitoring, [PERSON] et al. [15] developed an advanced experiment control and monitoring system for the LOG-a-TEC testbed. This system supports the real-time management of sensor networks and machine-type communications in indoor-outdoor setups, ensuring reliable and comparable experimental conditions. On the virtualization front, [PERSON] et al. [16] proposed a software-driven approach for defining virtual testbeds. Their method leverages network emulation and virtualization to mimic operational deployments, enabling reproducible testing of emergent technologies under cost-effective experimental setups. IoT testbeds have gained considerable attention, offering platforms for both fundamental and applied research. [PERSON] et al. [17] introduced FIT IoT-LAB, a large-scale testbed comprising thousands of low-power nodes and mobile robots. This testbed supports IoT protocol evaluations and service testing, ranging from low-level communication stacks to high-level IoT applications. Similarly, [PERSON] et al. [18] developed an IoT testbed usingOpenHAB ([[https://www.openhab.org/](https://www.openhab.org/)]([https://www.openhab.org/](https://www.openhab.org/)), accessed date: 15 December 2024), integrating a variety of wireless protocols to test smart home automation systems, providing a flexible platform for evaluating wireless interfaces and sensors. Testbeds addressing security concerns have also been developed. [PERSON] et al. [19] built a cybersecurity testbed for industrial control systems, providing an environment for validating security protocols and studying performance degradation under cyberattacks. [PERSON] et al. [20] designed a LoRaWAN security testbed using software-defined radios (SDR), enabling the exploration of practical vulnerabilities such as replay and bit-flipping attacks, along with their mitigation strategies. For Software-Defined Networking (SDN) and advanced communication systems, innovative testbeds continue to emerge. [PERSON] et al. [21] compared prominent wireless testbeds, including Fed4 Fire and COSMOS, for conducting SDN experiments on IoT networks. Their study evaluated performance metrics such as throughput, latency, and failure recovery times, showcasing the versatility of these platforms for experimental research. [PERSON] et al. [22] proposed a hybrid SDN testbed that integrates real hardware sensors with Mininet, enabling realistic testing of SDN-based systems. [PERSON] et al. [23] presented an inexpensive Raspberry Pi-based testbed designed for network coding experiments, offering a replicable and cost-effective solution for testing communication and storage systems. Finally, [PERSON] et al. [24] developed a distributed platform combining Universal Software Radio Peripheral (USRP) devices with Raspberry Pi units.