基于鱼眼状态路由的无人机自组织飞行网络路由形成

Muhammad Abul Hassan, Syed Irfan Ullah, I. Khan, Syed Bilal Hussain Shah, Abdus Salam, A. Khan
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引用次数: 10

摘要

飞行自组织网络造成快速拓扑变化,导致无人机和地面基站之间的路由问题。移动Ad-hoc网络和车载Ad-hoc网络协议通常被用来克服路由问题。但是,它们仍然不能完全解决飞行Ad-hoc网络中的路由问题。本文对鱼眼状态路由协议进行了实现和评估,以充分克服飞行自组织网络中的路由问题,充分利用无人机有限的资源。性能评估是根据吞吐量、平均端到端延迟、分组丢包分析作为拥塞度量来衡量的,包括Ad-Hoc按需距离矢量(AODV)、距离序列距离矢量(DSDV)、优化链路状态路由(OLSR)、临时有序路由协议(TORA)和动态源路由(DSR)。与传统协议相比,鱼眼状态路由协议在吞吐量、丢包率和平均端到端延迟方面表现出了令人满意的结果。此外,通过对这些参数的改进,可以提高网络的生存期,并且可以控制资源的收集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unmanned Aerial Vehicles Routing Formation Using Fisheye State Routing for Flying Ad-hoc Networks
Flying Ad-hoc Networks creates rapid topology changes that causes routing problems between Unmanned Aerial Vehicle and ground base station. Mobile Ad-hoc networks and Vehicular Ad-hoc network protocols are conventionally adopted to overcome routing issues. But Still, they do not fully address the routing problem in Flying Ad-hoc Networks. In this paper, Fisheye state routing protocol is implemented and evaluated to fully overcome routing issues in a Flying Ad-hoc Network and fully utilize the limited resource of Unmanned Aerial Vehicles. Performance evaluation is measured in terms of throughput, average end-to-end delay, packet drop analysis as congestion measure with Ad-Hoc On-Demand Distance Vector (AODV), Distance Sequence Distance Vector (DSDV), Optimized Link State Routing (OLSR), Temporary Ordered Routing Protocol (TORA) and Dynamic Source Routing (DSR). Fisheye state routing protocol showed promising results regarding throughput, packet drop rate, and average end-to-end delay compared with traditional protocols. Moreover, with the suggested improvement of the parameters, network lifetime is increased, and resources harvesting becomes under control.
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