Flying ad-hoc networks enable vast of IoT services while maintaining communication among the ground systems and flying drones. The domain research is focusing on flying networks assisted data centric IoT applications while integrating the benefits and services of aerial objects such as unmanned aerial vehicle and drones. Considering the growing market significance of drone centric flying networks, quality of service provisioning is one of the most leading research themes in flying ad-hoc networks. The related literature majorly relies on centralized base station monitored communications. Towards this end, this paper proposes a drone assisted distributed routing framework focusing on quality of service provision in IoT environments (D-IoT). The aerial drone mobility and parameters are modeled probabilistically focusing on highly dynamic flying ad-hoc networks environments. These drone centric models are utilized to develop a complete distributed routing framework. Neuro-fuzzy interference system has been employed to assist in reliable and efficient route selection. A comparative performance evaluation attests the benefits of the proposed drone assisted routing framework. It is evident that D-IoT outperforms the state-of-the-art techniques in terms of number of network performance metrics in flying ad-hoc networks environments.

飞行自组织网络可在维持地面系统与飞行无人机之间的通信的同时，提供大量的物联网服务。领域研究的重点是飞行网络辅助的以数据为中心的物联网应用程序，同时集成了诸如无人机和无人机等空中物体的优势和服务。考虑到以无人机为中心的飞行网络的市场重要性日益增长，服务质量的提供是自组织飞行网络中最主要的研究主题之一。相关文献主要依赖于集中式基站监视的通信。为此，本文提出了一种无人机辅助分布式路由框架，重点关注物联网环境（D-IoT）中的服务质量。概率模型着重于高动态飞行自组织网络环境，对空中无人机的机动性和参数进行建模。这些以无人机为中心的模型用于开发完整的分布式路由框架。神经模糊干扰系统已被用来协助可靠和有效的路线选择。一项比较性能评估证明了拟议的无人机辅助路由框架的好处。显而易见，就飞行自组织网络环境中的网络性能指标而言，D-IoT的性能优于最新技术。一项比较性能评估证明了拟议的无人机辅助路由框架的好处。显而易见，就飞行自组织网络环境中的网络性能指标而言，D-IoT的性能优于最新技术。一项比较性能评估证明了拟议的无人机辅助路由框架的好处。显而易见，就飞行自组织网络环境而言，D-IoT在网络性能指标方面优于最新技术。