无人飞行器(unmanned aerial vehicle,UAV)自组网的路由研究多以性能指标出发、忽略无人飞行器网络的任务驱动性,与实际需求动态耦合弱、适用性不强.针对该问题基于无人飞行器多任务网络提出了面向任务的无人飞行器联盟组网架构,提出了无人飞行器联盟的任务自适应优化链路状态路由协议(task adaptive optimized link state routing,TA-OLSR).基于模糊逻辑设计拓扑稳定度计算方法,利用拓扑稳定度实现TA-OLSR控制消息的自适应广播,同时结合稳定度设计新的多点中继选择策略.仿真结果表明,TA-OLSR算法能从宏观面向任务的角度出发,实现不同任务下的良好自适应性,提升数据包投递率,减少冗余信息传播,降低网络开销,有效提高整体网络性能.
Task adaptive OLSR protocol for UAV ad-hoc network
The routing research of unmanned aerial vehicle(UAV)ad-hoc network is mostly based on performance indicators,which ignores the task driven nature of UAV network,having weak dynamic coupling with the actual demand and weak applicability.Aiming at this problem,this paper proposes a task-oriented UAV coalition networking architecture based on the UAV multi-task network,and a task adaptive optimized link state routing(TA-OLSR)protocol of the UAV coalition.Based on the fuzzy logic design,the calculation method of topological stability is designed,and the adaptive broadcast of TA-OLSR control messages is realized by using topological stability.At the same time,a new multipoint relay selection strategy is designed by combining the stability.The simulation results show that TA-OLSR algorithm can achieve good adaptability under different tasks,improve packet delivery rate,reduce redundant information propagation,reduce network overhead,and effectively improve the overall network performance from a macro task-oriented perspective.
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维普
