# Future Wireless Networking Experiments Escaping Simulations
## 3 Steps to Set Up Experiments
### Fed4 Fire Testbeds--W-iLabs and CityLab  
The monitoring framework for an industrial IoT network on the Fed4 Fire Wi-iLab testbed was tested in [37]. As part of this testing, an IoT network is monitored and its security and performance are examined. Based on these results, a new Fed4 Fire testbed, LOG-a-TEC, was also included as part of the next phase of experiments. Further, to implement Quality of Service (QoS) in an IoT network experimented with over Wi-iLab, a statistical approach was applied to large amounts of data collected through experiments  
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Reference** & **Application** & **Usage** & **Testbed Used** \\ \hline
[30] & QoS Framework & IoT Network & Wi-iLab.t \\ \hline
[31] & Cybersecurity Framework & IoT Network & Wi-iLab.t \\ \hline
[32] & Automation & Industrial-Grade Network & Wi-iLab.t \\ \hline
[8] & Benchmark Tool & Industrial IoT Network & Wi-iLab.t \\ \hline
[9] & ICN Service & Edge Computing & CityLab \\ \hline
[33] & SDN & Multi-domain Industrial Network & Citylab \\ \hline
[10] & SDN & Edge to Core Networks & CityLab \\ \hline
[34] & Teaching and Learning & Network Management & CityLab \\ \hline
[35; 36] & - & IoT/Wireless Ad Hoc Networks & Other Testbeds \\ \hline \hline \end{tabular}
\end{table}
Table 2: _Cont._on testbeds in [30]. The results show that future data-driven QoS controls can benefits from data-driven decisions taken in real time.  
In [31], a cybersecurity framework consisting of a risk assessment framework, security event monitoring, and incident handling was tested on W-iLab.t. The main objective was to identify, estimate, and evaluate the risk, and perform security testing on edge computing architecture based on IoT. Five different attacks were performed on the IoT system, including Distributed Denial of Service (DDoS), the insecure default setting, insecure authentication/authorisation, and insecure updates. Results demonstrated the resilience of an IoT network on W-iLab against attacks using the framework.  
Moreover, the W-iLab.t testbed is proposed to be used for the testing of industrial-grade automation in [32]. The goal is to provide datasets and scenarios for industrial-grade IoT networks by utilising W-iLab.t for experiments. Further, an open benchmarking tool was proposed in the paper [8] for an industrial IoT network implemented on the Fed4 Fire testbed specifically on W-iLab.t. The tool acts as an interface between testbed infrastructure and users. As a result, the complicated testbed infrastructure is obscured, experiments are run in real time, and the supported firmware is run accordingly. The tool also collects real-time data from network nodes, generates datasets, and calculates key performance indicators.  
In [9], the CityLab testbed was used to implement an edge computing scenario to enable an Information-Centric Network (ICN) service on a mesh wireless network. The results show that the use of an ICN can improve QoS and service delivery time and reduce energy consumption in wireless mesh networks. Further, the CityLab and virtual wall testbeds at Fed4 Fire were used for building multi-domain industrial-grade networks in [33]. The purpose of this implementation is to provide flexibility and programmability in industrial-grade networks using Software-Defined Networking (SDN). Further, in [10], this work was extended from edge to core networks using experimentation on CityLab. Ref. [34] shows how the CityLab testbed was used to demonstrate network management techniques (such as network virtualisation and service function chaining) to undergraduate students of the Faculty of Applied Engineering at the University of Antwerp. This will allow the lab work to be integrated into the hands-on lab environment of the virtual networks, thus enhancing the quality of learning experiences.