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A Mobility and Load aware OLSR routing protocol for UAV mobile ad-hoc networks

机译:用于无人机移动自组织网络的具有移动性和负载意识的OLSR路由协议

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Unmanned Aerial Vehicles (UAVs) are widely used in military and civilian fields, which promotes the need of networking. Due to the complex features of UAV MANET, the development of UAV MANET faces many technical challenges, such as routing. Generally speaking, Optimized Link State Routing (OLSR) protocol gives better performance on delay compare to AODV protocol, so the OLSR protocol meets the high demand for real-time of UAV communication. High mobility and load imbalanced are two significant characteristics of UAV networks. The performance of UAV networks is largely affected by these characteristics. In order to reduce the effects of these problems, a Mobility and Load aware OLSR (ML-OLSR) protocol is proposed in this paper. The mobility-aware algorithm and load-aware algorithm are introduced to the OLSR protocol. The modelling and simulation of the ML-OLSR protocol was completed within QualNet simulator. Simulation results show that ML-OLSR outperforms the original OLSR protocol in terms of packet delivery ratio and average end-to-end delay.
机译:无人飞行器(UAV)广泛用于军事和民用领域,这促进了联网的需求。由于无人机MANET的复杂功能,无人机MANET的开发面临许多技术挑战,例如路由。一般而言,与AODV协议相比,优化链路状态路由(OLSR)协议在延迟方面具有更好的性能,因此OLSR协议满足了无人机实时通信的高要求。高移动性和负载不平衡是无人机网络的两个重要特征。这些特性极大地影响了无人机网络的性能。为了减少这些问题的影响,本文提出了一种移动和负载感知OLSR(ML-OLSR)协议。 OLSR协议引入了移动感知算法和负载感知算法。 ML-OLSR协议的建模和仿真是在QualNet仿真器中完成的。仿真结果表明,ML-OLSR在数据包传输率和平均端到端延迟方面均优于原始OLSR协议。

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