Flying ad hoc networks (FANETs) are a collection of unmanned aerial vehicles that communicate without any predefined infrastructure. FANET, being one of the most researched topics nowadays, finds its scope in many complex applications like drones used for military applications, border surveillance systems and other systems like civil applications in traffic monitoring and disaster management. Quality of service (QoS) performance parameters for routing e.g. delay, packet delivery ratio, jitter and throughput in FANETs are quite difficult to improve. Mobility models play an important role in evaluating the performance of the routing protocols. In this paper, the integration of two selected mobility models, i.e. random waypoint and Gauss–Markov model, is implemented. As a result, the random Gauss integrated model is proposed for evaluating the performance of AODV (ad hoc on-demand distance vector), DSR (dynamic source routing) and DSDV (destination-Sequenced distance vector) routing protocols. The simulation is done with an NS2 simulator for various scenarios by varying the number of nodes and taking low- and high-node speeds of 50 and 500, respectively. The experimental results show that the proposed model improves the QoS performance parameters of AODV, DSR and DSDV protocol.

中文翻译：

---

RGIM：使用链移动模型提高FANETS的AODV，DSR和DSDV路由协议中QoS的集成方法

临时飞行网络（FANET）是无需任何预定义基础架构即可进行通信的无人飞行器的集合。FANET是当今研究最多的主题之一，它在许多复杂的应用程序中都有其应用范围，例如用于军事应用的无人机，边界监视系统以及交通监控和灾难管理中的民用应用程序等其他系统。用于路由的服务质量（QoS）性能参数（例如，FANET中的延迟，数据包传输率，抖动和吞吐量）很难改进。移动模型在评估路由协议的性能中起着重要作用。在本文中，实现了两个选定的机动性模型的集成，即随机航点和高斯-马尔可夫模型。结果是，临时按需距离矢量），DSR（动态源路由）和DSDV（目标顺序距离矢量）路由协议。使用NS2模拟器针对各种情况进行仿真，方法是更改​​节点数量，并分别采用低和高节点速度（分别为50和500）。实验结果表明，该模型改善了AODV，DSR和DSDV协议的QoS性能参数。