## 1 Introduction
### Related Work
[28] developed a scenario for traffic management and cooperation of drones and nodes on the ground to provide continuous data transfers and network stabilization by using adhoc technology. The target applications and technological implications of IoT-aided robotics were discussed [29]. Furthermore, [PERSON] et al. [30] addressed the network security enhancement of IoT-aided robotics in a complex environment. In addition to the work of the authors in [30], the authors of [31; 32] reviewed the convergence in terms of network protocols, architectures, and embedded software for IoT robotics for smart cities. The interaction of robotic and IoT devices was investigated [33; 34]. Therefore, AI, robots, and IoT will provide the next generation of IoT applications [35]. Moreover, renewable energy harvesting was discussed for the energy Internet of drone communication and networks [36]. Therefore, drone technology and information and communication technologies pay a vital role in smart cities' reduction of resource consumption and costs. Greening information and communication technologies enabled the green IoT [37] by reducing energy consumption, pollution, and hazardous emissions in smart cities. Most of the challenges regarding energy efficiency, interference, and communication networks are discussed in depth [38; 39; 40; 41; 42], along with intelligent techniques for processing data [43; 44]. Furthermore, the authors of [45] explored the potential usefulness of the IoT to enhance public safety and discussed the challenges and opportunities of using the IoT to support public safety networks and SAR. The hybrid network architecture for public safety broadband communication was discussed in [46], in which the stationary base station supports heavy traffic after an incident. However, LTE network architecture towards 5G in order to support emerging public safety was discussed in [47]. The authors of [48] analyzed how the deployment of the drone as a base station could deliver communication services to a particular area. Furthermore, the coexistence between heterogenous devices and drones was discussed. The fundamental operation and techniques were introduced for enhancing the efficiency and accuracy of public safety network using IoT technologies. Moreover, the authors of [49] reviewed the techniques and the availability of IoT for disaster management. [PERSON] et al. [50] outlined the disaster management and the importance of using IoT and big data. The study focused on the use of drones as 0 th responders to deliver communication service to victims in a disaster. The main idea of the 0 th responder was to arrive at the disaster area before the first responders. The work was divided into two parts, the collection of data and the use of local searching to find the optimal position in which the drone could deliver communication services to the victims. Furthermore, the work in [50] was supported by [51], in which the position of the 0 th responder was considered for delivering communication services to victims in disaster areas. However, keeping a connectivity link between the 0 th responder and other responders was not discussed. Therefore, [PERSON] et al. [52] developed an artificial neural network to predict signal strength between the drone and wearable IoT devices or other responders on the ground to keep up connectivity for delivering services. The collaboration of drones and IoT plays a significant role in public safety. The proposed network architecture, that is, the integration of drones, IoT and smart wearable devices, offers numerous services like supporting disaster relief team to save human lives, long-distance communication, greening communication, etc. To the best of our knowledge, no study has been done to evaluate the collaboration of drone and IoPST performance network. The summary of related work is shown in Table 1.  
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